@twiata
This Week in All Things AIhttps://paragraph.com/@twiata Weekly newsletter which reposts content from the 'All Things AI' telegram group curated by Yusuf GoolamabbasSun, 19 Jul 2026 00:49:12 GMThttps://validator.w3.org/feed/docs/rss2.htmlhttps://github.com/jpmonette/feedenAll rights reserved<![CDATA[This Week in All Things AI - Week 29-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-29-2026 5KhisHGdPRwhSWKv2Nj4Sun, 19 Jul 2026 00:40:45 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
If you follow AI for work, research, investing, or just to understand where the technology is heading, this weekly brief is a concise way to scan the most important launches, risks, and resources in a few focused minutes.
The week of 12th July to 18th July 2026 brought a series of model, product and workflow developments. A purported internal Zhipu letter outlined AGI ambitions and plans to open‑release GLM‑5.2 with a one‑million‑token context window; Thinking Machines released the open‑weights multimodal Inkling model; and Moonshot launched Kimi K3, a 2.8T‑parameter multimodal model with 1M context and planned open weights. Anthropic introduced Claude for Teachers, announced Claude Fable 5 would be included in Max and Team Premium plans from July 20, and Google‑backed Key Studio offered support for early‑stage AI startups; tools such as Vorflux, Gemini Notebook, and PenEcho's shared AI canvas continued the shift from AI assistance towards more autonomous software and research workflows.
Safety, governance and deployment economics were equally prominent. MCPTox testing and Warrant's policy‑gated action layer drew attention to tool‑poisoning and destructive‑agent risks in production environments, while Demis Hassabis renewed calls for stronger standards for frontier models and President Xi's first appearance at the World AI Conference signalled China's state‑level commitment to open AI development. Chamath Palihapitiya's CNBC comments on the widening cost gap between Western and Chinese model providers reinforced ongoing community debate on inference economics, and reports concerning Grok Build's handling of repository data—followed by xAI statements on zero data retention—kept privacy and developer trust in focus. Cursor's expanded model allowance and Grok Build's open‑sourcing illustrated how rapidly AI products are reaching more users, even as operational safeguards and data governance remain unresolved.
The sections that follow walk through these items day by day, with short context and links so you can dive deeper into the pieces most relevant to your work or interests.
Sunday 12th July 2026
In April 2026, a group of U.S. AI researchers traveled to China to get a firsthand look at the country’s fast-moving AI ecosystem.
During the trip, they visited AI labs and companies across Beijing, Hangzhou, and Shanghai, meeting with teams from Alibaba, Moonshot AI, Zhipu AI, Tsinghua University, Meituan, Xiaomi, Qwen, Ant Group, and 01.AI.
Qian Chen of Silicon Valley 101 in conversation with Nathan Lambert, a prominent AI researcher known for his work on RLHF and open-source AI, joined the trip. A graduate of UC Berkeley,
Nathan previously helped build Hugging Face’s RLHF research team. He later led post-training research at the Allen Institute for AI, better known as Ai2, where he worked on open models including OLMo and Tülu. He is also the author of Interconnects, one of the most widely read independent publications covering frontier AI research and policy.
[Notes from inside China's AI labs \ \ Lessons from my trip to talk to most of the leading AI labs in China.\ \ https://substack.com\\ \
The below article reproduces a translated letter allegedly written by Jie Tang, founder of Zhipu AI/GLM, arguing that AI has entered an irreversible “great wave” toward AGI.
Its main points:
- Zhipu’s strategy is built on first-principles thinking, contrarian decisions, and long-term focus, rather than short-term commercialization.
- AI’s capability ceiling is rising from perception to reasoning, with progress centered on:
1. Long-horizon task execution
2. Fully autonomous multi-agent systems
3. Self-evolving and self-training models
- Zhipu’s two-year “Touch High” initiative will focus on these areas, alongside major investment in safety, interpretability, and governance.
- The company claims it will pursue an open ecosystem, highlighting the planned open release of GLM-5.2 under the MIT License with a one-million-token context window.
- The letter frames the race toward AGI/ASI as both a technological opportunity and a major responsibility, with Zhipu aiming to push frontier capabilities upward while making them broadly accessible.
Caveat: Bing Xu says this is a translation of an internal GLM letter found on RedNote and describes it as “purportedly” written by Jie Tang; the document’s authenticity is therefore not independently established.
Monday 13th July 2026
via Huzefa
Prompt Loops: Why the Best AI Results Come from Iteration 🔄
The most effective AI workflows do not rely on a single prompt. They follow an iterative cycle:
Prompt → Generate → Evaluate → Refine → Repeat → Final Output 🔄
Research supports this approach. Studies show that iterative prompting can improve multi-step reasoning, enhance response quality, and produce more reliable outputs than one-shot prompting. It also enables models to self-correct, refine reasoning, and better align with user intent. 📈
As AI agents become more capable, prompt loops are evolving from a best practice into a core design pattern for building reliable AI systems. 🛠
References:
• Iteratively Prompt Pre-trained Language Models for Chain of Thought (EMNLP 2022) 📚
• Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models (NAACL Findings 2024) 📚
• Understanding the Effects of Iterative Prompting on Truthfulness (ICML 2024) 📚
via Madhav
We were building a secure boundry system for agents.
Since MCPs and tool calls are a big attack vectors even for frontier agent, We tested multiple models across MCPtox which is a tool poisining benchmark to test security across models.
Results were crazy, on avg most models allowed 30%+ critical tool uses/commands that could cause harm and warrant blocked them.
MCP can become a critical attack vector for agents:
1. Agents trust tool mcp descriptions, rather than verifying them independtly.
2. Approval becomes permanent trust. But an MCP server can change its tool description, implementation, or returned content after approval allowing
Followup by Prames
use case here would be:
agent is touching your production databases, calendars, spreadsheets etc etc
safety gated agent actions for high-impact environments
the MCPTox bench we used is published here
[MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP Servers \ \ By providing a standardized interface for LLM agents to interact with external tools, the Model Context Protocol (MCP) is quickly becoming a cornerstone of the modern autonomous agent ecosystem. However, it creates novel attack surfaces due to untrusted external tools.\ \ https://arxiv.org\\ \
Tuesday 14th July 2026
via Roc Zacharias,
Question. When I moved from VPS to Mac Mini for hosting my agents, it saved me money each month and worked great. Was paying like $100/month for VPS. Now pay nothing, except electricity which I think on Mac mini is almost negligible?
Does moving from external LLM to internally run have similar cost savings per month after you pay for the hardware? Right now I just use ChatGPT with Hermes for $100/month and I haven’t run out of capacity yet. I’m starting to ramp up my usage though and wondering once I get over the $100/month ChatGPT subscription, if local LLM are more economical or if they’re used more for privacy than economics?
Could a Mac mini run LLM at all btw or no, need dedicated like $5000+ hardware?
Response from Jack
Gemma4 and a few other quantised models
Nothing beefy though
But they’ll eat up most of your memory for little practical benefit
Also could get Strix halo machine for like 2-3k that can run some decent stuff
Have you looked at the costs of the Chinese models also, for less sensitive tasks they are dirt cheap, Minimax, Deepseek, Glm etc the same usage you get on the $100 plan will be like $10-20 or less on a Chinese model
Response Just|LDA
I have Qwen 3.5 running as a back up local model. I hit my usage on ChatGPT and Claude frequently. They have me on a daily drip
via Alex
The legal filings Apple v OpenAI are wild.
If only half of the things are true, it is a death sentence for OpenAI. Why would you trust OpenAI with your corporate data if they so blatantly steal from what (was) their biggest customer at the time?
https://www.documentcloud.org/documents/28453229-apple-v-openai/
I haven't personally used this product and may have fallen for the click-baity text [respect to the founder/copywriter for the tweet content ] but if someone else can get around to trying it out incase its useful in their real life work and share their feedback here that would be much appreicated by others in the group
===
Someone claiming to have a much cheaper PitchBook at $0.125/request instead of Pitchbook's $25k/yr per seat
We just killed PitchBook.
Introducing Claude for private market data. Your agent can now read 20M+ private companies.
PitchBook: $25k/yr per seat.
Us: $0.125 per request.
Made possible by @akta_pro × @monid_ai.
via Alex
On a similar note. Grok caught uploading FULL repos to xAI servers...
This included uploads of .env files even when you didnt opt in for providing data for training and also from EU customers sending data to the US.
Every Grok Build customer must assume their application compromised ~
On another note. Has anyone here tried Nemotron Two Tower?...
https://huggingface.co/nvidia/Nemotron-Labs-TwoTower-30B-A3B-Base-BF16
my response to the Grok brouhaha was that
This is an unfortunate detraction from the fact that Grok Build is an awesome harness and Grok-4.5 a very fast and good model particularly for coding
SpaceX policy regarding data retention.
It is actually helpful for debugging issues if we can retain some amount of data, so allowing this would be appreciated, but your privacy settings are always respected.
We care deeply about your privacy and respect customer choice. For teams using zero data retention, no trace and code data is ever retained. All API key use of Grok Build also respects ZDR.
If ZDR is disabled, the /privacy command is available in the CLI to disable data
True.
As a precautionary measure, all user data that was uploaded to SpaceXAI before now will be completely and utterly deleted. Zero anything whatsoever will remain.
I worked on building an end-to-end encrypted email/docs/files/calendar app @skiffprivacy for 4 years and care deeply about privacy.
ZDR and /privacy are always respected in Grok Build - and swapping your setting with /privacy deletes any synced data retoractively
Demis Hassabis publishes essay on imminent AGI, its unprecedented impact, risks, and proposal for Frontier AI Standards Body
Demis Hassabis, CEO of Google DeepMind and 2024 Nobel Prize in Chemistry winner for AlphaFold, wrote an essay stating AGI is likely a few years away with an impact 10 times that of the Industrial Revolution at 10 times the speed. He warns of risks in cybersecurity, biological, nuclear threats, and self-improving systems due to commercial and geopolitical races outpacing understanding, proposing a US-led independent Frontier AI Standards Body to test powerful models before release, enforce evaluations, and promote safety measures.
Came across a pretty interesting AI innovation program backed by Google’s AI Futures Fund. Looks like they’re offering funding, cloud credits and hands-on support to early-stage founders.
Anyone building in AI and looking for funding should definitely explore this and check if they’re eligible. Feels like a solid opportunity that might be flying under the radar right now.
If you're building an AI startup don't miss this!
@kushagra @ChristopherFong are launching Key Studio an AI platform backed by the Google @AIFuturesFund & @XooglerCo network
You'll get
• Up to $100K program funding
• $350K Google Cloud & AI credits
• Mentorship
Apply by 7/15
Wednesday 15th July 2026
In case there are K-12 educators in the US in this group or members know someone in this demographic within their network
via Anthropic
We're introducing Claude for Teachers, providing verified K-12 educators in the US free access to premium Claude capabilities, a library of teaching skills, and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states.
We're introducing Claude for Teachers: free access to premium Claude capabilities for verified K-12 educators in the US, with a library of teaching skills and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states.
[Introducing Claude for Teachers \ \ Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.\ \ https://www.anthropic.com\\ \
via David An
In this interview, we dive deep into the next massive evolution of the internet: Agentic Commerce. We explore how AI agents are shifting from simple chatbots into autonomous decision-makers capable of pulling data via Model Context Protocols (MCPs) and executing real-world commercial transactions.
[#ai #adoption #provocationlab | Dr. David An \ \ In this interview, we dive deep into the next massive evolution of the internet: Agentic Commerce. We explore how AI agents are shifting from simple chatbots into autonomous decision-makers capable of pulling data via Model Context Protocol (MCP) and executing real-world commercial transactions. #ai #adoption #Provocationlab\ \ https://www.linkedin.com\\ \
For those in the group who like to subscribe to many newsletters including yours truly's, a howto below on how to read them in a single, distraction‑free reading queue instead of relying on your inbox
This approach may also be useful incase you have been avoiding subscribing to newsletters because now you can read them without cluttering your inbox
@substack and @paragraph_xyz both expose RSS feeds, so you can read everything in apps like NetNewsWire or NewsBlur instead of your inbox.
I wrote up the details (with examples) here
Whilst I personally use Wispr Flow on macOS and Android, I wanted to share Willow Voice’s offer of free, unlimited AI dictation for Mac, Windows and iOS.
Why are you paying for dictation?
We're releasing free, unlimited AI dictation.
And it's not a slow, local model.
Willow Frontier Mini is cloud-based with zero-data-retention. More accurate and faster than Wispr Flow, OpenAI, Deepgram, and more.
See video comparison.
Today, Willow is launching free, unlimited AI dictation on iOS. With our custom iOS keyboard, you can use your voice to write anywhere on your phone.
It’s more accurate and faster than Wispr Flow, OpenAI, Deepgram, and more.
Start working 3x faster.
Members are more than welcome to go via Willow Voice referral link which gets you one month free of their Pro plan which gives additional features over their free plan. That is, take the one month Pro plan for free , experience the features in that plan and then downgrade to foreever free if the the features of the free plan are only what you need
https://app.willowvoice.com?ref=2M629L
Tom Blomfield, co-founder of Monzo and GoCardless and former YC General Partner, recently joined Anthropic's compute team, lending operational scaling expertise to AI infrastructure challenges. The talk outlines an "AI Loop" with sensors/data, policy and tool layers, quality gates, and learning mechanisms, urging early-stage founders to build these systems now while they still can....
Monzo & GoCardless co-founder Tom Blomfield just joined Anthropic. In just 13 minutes, he explains exactly how to build a self-improving, AI-native company.
Tom recently served as YC’s General Partner, so he clearly walks through how to create recursive, self-improving AI loops,
Prasanna S, former Rippling co-founder and CTO, launched Vorflux AI as an autonomous "autopilot" for software engineering that handles end-to-end tasks from high-level prompts through planning, coding, testing in live environments, review, and merging without constant human oversight.
The promotional video demonstrates the UI executing complex workflows like implementing features across repos and services, including mobile emulators, while the founder explains shifting from copilot models to full autonomy as AI coding capabilities surpassed human levels in 2026 benchmarks.
Vorflux secured $15M seed funding from Y Combinator, Peak XV Partners, and prominent angels; the thread argues engineering bottlenecks have moved beyond code to planning and orchestration, offering users $200 credits to test it on their backlogs
Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari.
Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving
Thursday 16th July 2026
Thinking Machines has released Inkling, the new leading U.S. open weights model, debuting at 41 on the Artificial Analysis Intelligence Index
The model is 975B total parameters, has 41B active parameters, and accepts text, image, and audio input modalities. The model is accessible via Thinking Machines’ Tinker platform API (256K context window) and weights are available on HuggingFace (1M context window).
Inkling natively supports image and audio multimodal inputs, a key differentiator among open weights models.
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/introduci…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. \ \ thinkingmachines.ai Inkling: Our open-weights model \ \ Our first open-weights model: multimodal, Mixture-of-Experts, with controllable reasoning effort. Available to fine-tune on Tinker.](https://t.co/Ghebq5mG30)
Thinking Machines' Inkling is out: first ever open and large (1T), text, image and audio in, text out.
One thing I find quite striking is how much easier accelerating models has become.
We replaced the model's causal Conv1D with the `causal-conv1d` kernel. One line changed, +4%
Thinking Machines has released Inkling, the new leading U.S. open weights model, debuting at 41 on the Artificial Analysis Intelligence Index
@thinkymachines has previously released research previews of models and this is their first production language model release. The model
[Inkling: Our Open-Weights Model \ \ Our first open-weights model: multimodal, Mixture-of-Experts, with controllable reasoning effort. Available to fine-tune on Tinker.\ \ https://thinkingmachines.ai\\ \
Matt van Horn of Last30Days skill fame with a great post summarising some of the clever things being done by Grok Build. Grok Build is also currently my daily driver
SpaceXAI open-sourced Grok Build yesterday: the CLI, agent runtime, tools, and TUI. I pointed my agent at all 1.3M lines and asked for the cleverest things inside. Tl;dr of my new article:
It has an appeals court. /goal mode won't let the agent call itself done. Three
Cursor also doubled the included usage of Cursor models on all plans.
We just doubled the included usage of Cursor models on all plans.
Enjoy more access to Grok 4.5 and Composer 2.5!
Response from Alex
I doubt they will open source the algo. Good move though
This move might be connected to operation bluebird: https://www.jdsupra.com/legalnews/new-bird-on-the-block-operation-6468820/
For the ones that dont know, X is being sued to release the twitter trademark given it is deemed abandoned (3 years no use).
If X doesnt use the twitter brand within end of the month, the trademark could be released and twitter.new launch
via Madhav
Hey! Saw several reports on twitter and in personal experience where frontier agents and models like codex, grok build pass on destructive commands for critical data and infrastructure
We have been working on the app that becomes the boundry between you and your agent (claude code/codex)
• You define policies
• What the agents can touch
• What you want to prevent ie deleting critical data
Warrant takes care of the rest!
The setup only takes 2-3 minutes!
For Anyone facing the problem of codex/grok build going haywire
brew install cerebral-systems/tap/warrant
We built a agent boundry system that prevents agents from taking unwanted actions, agents are smart enough to pass basic regex checks so they need better guardrails to
\ \ cerebral-systems.gitbook.io Introduction | Cerebral-systems Docs \ \ Warrant is an HTTP action boundary for agents. Agents can reason in any runtime; Warrant gates side effects through policy, approval, actuators, and audit.](https://t.co/jKYE6g2yxd)
On file deletions. We’ve investigated a handful of reports where GPT-5.6 unexpectedly deleted files.
What we have found is that this most commonly occurs when:
- Full access mode is enabled and codex is run without sandboxing protections, including without auto review being
[Getting Started | Cerebral-systems Docs \ \ For the complete documentation index, see llms.txt. This page is also available as Markdown. The v0.3.0 Claude profile accepts 2.1.20 through versions below 2.2.0. Setup still pins the exact detected version, launcher, interpreter when applicable, and SHA-256. The first warrant invocation verifies the checksum-pinned release and installs an owner-private runtime under ~/.local/share/warrant/homebrew/bin.\ \ https://cerebral-systems.gitbook.io\\ \
Follow up to Madhav's post from Prit
our latest release takes of the problem stated in the below tweet from Tibo of OpenAI
claude/codex accidentally deletes production databases, files on the filesystem, spreadhsheet data etc
we built a way to guard against that as part of our agent and have launched it at a standalone developer tool
On file deletions. We’ve investigated a handful of reports where GPT-5.6 unexpectedly deleted files.
What we have found is that this most commonly occurs when:
- Full access mode is enabled and codex is run without sandboxing protections, including without auto review being
We’re dogfooding this live in customer’s production environments with names like Squarespace, AWS, Camp Network
It was built as part of our agent’s stack - we’ve pulled it out as a standalone devtool for agent-builders focused on safe, autonomous, agentic actions!
First of its kind, please give us feedback!
Friday 17th July 2026
Moonshot AI releases Kimi K3, a 2.8 trillion parameter open-weight AI model
Moonshot AI launched Kimi K3, featuring 2.8 trillion parameters, 1 million token context length, and native multimodal capabilities for text and images. The model achieves top-tier benchmark scores, ranking just behind Claude Fable 5 Max and GPT-5.6 Sol Max while surpassing Claude Opus 4.8 on evaluations including GDPval-AA v2, AA-Briefcase, BrowseComp, DeepSWE, and Terminal Bench. It is accessible via API at $3 per million input tokens and $15 per million output tokens.
Introducing Kimi K3: Open Frontier Intelligence
2.8 Trillion Parameters, 1 Million Context, Native Multimodal
Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
Attention Residuals deliver ~25% higher training efficiency at <2% additional
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.
This is a 17-place jump from Kimi-k2.6 (#18 -> #1).
In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics,
Meet Kimi K3
[Kimi K3: Open Frontier Intelligence \ \ Kimi K3 is the world's first open 3T-class model - frontier performance across coding, knowledge work, and reasoning, with native multimodality and 1M context.\ \ https://www.kimi.com\\ \
Open weights by July 27, 2026 with vLLM and SGLang promising Day-0 support
Congrats to @Kimi_Moonshot on the Kimi K3 announcement!
Grateful for the shoutout and collab. The Kimi team announced they contributed a KDA prefix caching implementation directly to vLLM, to be released alongside the model.
KDA breaks assumptions behind conventional
Introducing Kimi K3: Open Frontier Intelligence
2.8 Trillion Parameters, 1 Million Context, Native Multimodal
Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
Attention Residuals deliver ~25% higher training efficiency at <2% additional
Congrats @Kimi_Moonshot on the K3 launch! This is a 2.8T-param model with a 1M-token context window and native visual understanding.
The SGLang team is actively working on optimized K3 inference with efficient long-context serving and high-throughput deployment.
Day-0 Support
Introducing Kimi K3: Open Frontier Intelligence
2.8 Trillion Parameters, 1 Million Context, Native Multimodal
Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
Attention Residuals deliver ~25% higher training efficiency at <2% additional
Google renames NotebookLM to Gemini Notebook and rolls out an update giving every notebook a secure cloud computer, letting it write and execute code natively
PS: I think this is Google's most underrated product. Say what you may about Gemini the model, NotebookLM is awesome particularly if you want to deep dive over a bunch of Youtube videos
3 years ago we started as a tiny experiment with the goal of helping you learn faster.
Since then, we grew to bring audio, video, and interactivity to your sources, transitioning from a passive workspace to your true research companion.
And now, notebooks have even become an
[NotebookLM is now Gemini Notebook \ \ NotebookLM is now Gemini Notebook: the same standalone product with deeper Google integration and a secure cloud computer.\ \ https://blog.google\\ \
Ben and Jorvik Zhang commented on NotebookLM
My wife uses it to load in her study materials and turn them into podcasts where two people discuss the information in a relatable way, she finds its a much better way of learning.
NotebookLM can serve as a kind of vector database for multimodal materials (video, audio, photos, etc.), offering much more efficient indexing.
Chamath Palihapitiya Compares AI Model Inference Costs from Anthropic, OpenAI, Meta, xAI, Google, and Chinese Models on CNBC
Chamath Palihapitiya stated on CNBC that the cost of a 'barrel of intelligence' for AI inference is $56 from Anthropic, $26 from OpenAI, $1.50 from Meta, $1 from xAI and Google, and $0.50 from Chinese models. He highlighted a 112x price gap between the highest and lowest costs.
Chinese models are 112x cheaper than Anthropic per million tokens.
Chamath laid it out on CNBC: a "barrel of intelligence" costs $56 from Anthropic, $26 from OpenAI, $1.50 from Meta, $1 from xAI and Google, and $0.50 from Chinese models.
That is not a pricing quirk. That is the
Boris Cherny from Anthropic observes that while top engineers achieve 10x output using Claude, most teams lag in adoption, following a predictable 4-step progression that requires targeted bottlenecks and guardrails rather than just more tokens.
Advancing steps involves enabling self-verification, automated code/security reviews, multi-agent interfaces, looping, batching, and dynamic workflows to build trust in full automation across work classes
True ROI tracking focuses on engineering hours saved for tasks that would have been done manually, shifting teams from maintenance to novel building; Anthropic is at step 3 advancing to 4.
I talk to engineers at other companies every day and hear the same thing: one person is 10x'ing their output with Claude but the rest of the org hasn't caught up.
Watching teams adopt AI, I keep seeing the same 4 steps.
I mapped them out here: Steps of AI Adoption
\ \ claude.ai Steps of AI Adoption \ \ Steps of AI Adoption](https://t.co/kQnRAUMKpP)
via Vincent Chow of the South China Morning Post
Key takeaways from President Xi's speech in his first ever appearance at the World AI Conference in Shanghai:
- Started the speech by referring to his signature maxim, "great changes unseen in a century are unfolding across the world"
- Said that the world has "entered an unprecedented period of active innovation on AI technology", which means "great opportunities as well as challenges for governance”
- reaffirmed commitment to open source to promote AI "openness and win-win"
- warns against "over stretching" the concept of national security as applied to AI where one country's national security is prioritised over others
- China opposes emergence of “new historical injustices” in AI (one of the most strongly worded parts of the speech)
- China in next 5 years will provide 5000 opportunities to developing countries in "AI training and seminar programmes" and "cooperation centres" - names ASEAN, League of Arab States, African Union, CELAC, SCO and BRICS
Key takeaways from President Xi's speech in his first ever appearance at the World AI Conference in Shanghai:
- Started the speech by referring to his signature maxim, "great changes unseen in a century are unfolding across the world"
- Said that the world has "entered an
[Xi Jinping says 'one country' cannot monopolise AI - as it happened \ \ President's personal attendance seen as a sign of China's inclusion of artificial intelligence into broader geopolitical strategy.\ \ https://www.scmp.com\\ \
Ramchand Kumaresan of Murai Labs published a 934-page book teaching LLM construction from scratch, covering tokenizers, attention, KV cache, MoE, RLHF, quantization, and serving through 35 hands-on projects. Each chapter includes a deliberate "break the thing" exercise to deepen understanding of failure modes, directly informed by his TamilLM development work and prior research papers.
The announcement has generated solid engagement with early buyers praising its practical depth, one noting it clarified why their own LLM project extended from 6 months to 1.5 years.
I wrote 934 pages on how to build every layer of a large language model from scratch. Many of these concepts were new to me a year back.
Tokenizers, attention, KV cache, MoE, RLHF, quantization, serving. 35 projects. Every chapter has a section where you break the thing you just
\ \ leanpub.com Under The Hood \ \ Build an LLM from scratch in 35 hands-on projects — autograd, attention, GPT, KV cache, MoE, RLHF, quantization. No black boxes. Build it. Break it. Measure it.](https://t.co/9hANb7VaLc)
Saturday 18th July 2026
The following post promotes a podcast episode of "The Bench" featuring MiniMax AI research lead Olive Jy Song, discussing timelines to reach "Fable level" (comparable to Anthropic's Claude Fable 5 frontier model from June 2026), their M3 model's native multimodality and 1M token context, and talent as the key scaling bottleneck over compute.
It covers MiniMax's research culture including early AI agents for paper tracking, open-source model progress on Vibe Code Bench, and candid insights on 996 work culture, with timestamps highlighting predictions and respected competitors.
When will MiniMax have a Fable level model?
@olive_jy_song, research lead at @MiniMax_AI, joins The Bench to answer that question, plus M3, open source models closing the gap on Vibe Code Bench, and the truth about 996 culture.
Full episode out now!
7:19 – Inside MiniMax's
via Just|LDA
Anthropic is integrating its advanced Claude Fable 5 model—a Mythos-class AI optimized for complex coding, long-running agent tasks, and knowledge work—into Max and Team Premium plans at 50% usage limits starting July 20.
Pro and Team Standard subscribers will keep Fable 5 access through usage credits plus a one-time $100 credit, while the company addresses unpredictable demand by expanding capacity incrementally.
The update standardizes higher-tier inclusions after staged rollouts and temporary restrictions, aiming to reduce subscriber frustration and provide clearer plan expectations
Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits.
Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit.
Demand for Fable has been challenging to
via Alex
Amazing handwriting harness I have been playing with today:
PenEcho is a shared canvas where handwriting, equations, diagrams, and spatial context become part of the conversation.
[GitHub - erickong/penecho: Think with AI beyond the chat box. A shared canvas for handwriting, equations, diagrams, and spatial reasoning. \ \ Think with AI beyond the chat box. A shared canvas for handwriting, equations, diagrams, and spatial reasoning. - erickong/penecho\ \ https://github.com\\ \
Below is my personal website which aggregates links to many of my socials as well as the various content and community that I curate. Feel free to share this link to others who you think may find this content/community useful to them
The cover image of this newsletter via generated via the Seedream 5.0 model within the Krea tool via the following prompt
Two women walking in a Chinese garden, wearing Hanfu and flowing robes, in the style of Chinese ink painting, beautiful scenery of a Chinese fairy tale, misty with white snow covering the ground, graceful figures
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 28-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-28-2026 Nsr5CoSpqZkupU8OPW4wSun, 12 Jul 2026 00:17:01 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
The week of 5th July to 11th July 2026 was defined by a wave of frontier model releases and infrastructure moves, with Grok 4.5, OpenAI’s GPT‑5.6 family, Meta’s Muse Spark 1.1, and Tencent’s Hy3 all pushing toward longer context, stronger coding, and more agentic workloads, while Meituan’s LongCat‑2.0 went fully open source and MiniMax paired its proposed 2.7T‑parameter M3 Pro with a fresh $2 billion fundraise and AGI-linked commitments. Infrastructure and efficiency stayed in focus as pxpipe-style token reduction, SambaNova’s $1B raise at $11B valuation, Microsoft’s reported move toward in-house MAI models in Office, and Qualcomm’s interest in Modular and Tenstorrent pointed to a broader push for better unit economics and greater control beyond Nvidia’s CUDA moat.
In parallel, culture and adoption signals remained more uneven: US enterprise surveys continued to show modest AI uptake, while filmmakers such as Gareth Edwards and designers responded strongly to tools including Seedance and Fable 5. Voices including Dylan Field and Chamath Palihapitiya highlighted the widening tension between rapidly improving capabilities, rising inference costs, and the slower, more complicated work of turning AI into durable products, workflows, and careers.
Sunday 5th July 2026
How ByteDance is making Hollywood inroads with its Seedance video generator, thanks to low pricing, striking realism, and features like timeline-based prompting
via Steve IP
cut Fable 5 token usage by rendering text context as images
[GitHub - teamchong/pxpipe: cut Fable 5 token usage by rendering text context as images \ \ cut Fable 5 token usage by rendering text context as images - teamchong/pxpipe\ \ https://github.com\\ \
Monday 6th July 2026
via Robby Yung
LongCat-2.0 is now fully open-source— MIT licensed, no restrictions.
LongCat-2.0 is now fully open-source — MIT licensed, no restrictions.
Since our launch a few days ago, the response from the community has been incredible.
Thank you for all the feedback, discussions, and interest.
Today, we’re releasing the model weights and inference code
Introducing LongCat-2.0
1.6T parameters · MoE with ~48B active · 1M context
The full model behind Owl Alpha on @OpenRouter — now available.
Built for agentic coding from the ground up:
◆ LongCat Sparse Attention (LSA) — scales efficiently for 1M-context tokens
◆
Jurassic World Rebirth’ and ‘Rogue One’ director Gareth Edwards on AI + filmmaking
It has no taste whatsoever. It is a fucking genius at helping you. I view it like having a second-unit director who is a billionaire on acid. Like, it’ll do anything you ask, not a problem. Sometimes, it’ll [go] batshit crazy. And you’ll give it notes, and it’ll be like, ‘I don’t do notes. I’ll just do something totally different.’ But it’s worth it.
[Gareth Edwards Is Excited About AI Filmmaking - Even Though It's Like a "Second-Unit Director Who Is a Billionaire on Acid" \ \ The 'Jurassic World Rebirth' and 'Rogue One' director said he has been experimenting with diffusion models and eventually wants to create a hybrid AI film.\ \ https://www.hollywoodreporter.com\\ \
['Like a billionaire on acid': Star Wars director Gareth Edwards comes out in favour of AI \ \ Speaking at Amazon's AI on the Lot event, the Rogue One film-maker Gareth Edwards said 'it'll do anything you ask' and 'it's going to be better than CGI'\ \ https://www.theguardian.com\\ \
In response to Ming Guang Yong question about Qualcomm reportedly paying US$4B for Modular, the following view was shared in the group:
el-GOOG paid USD 2.7 billion for CharacterAI which was in effect an acqui-hire for Noam Shazeer who is credited in many ways for the rise of Gemini to be in LLM conversations when it was massively behind the curve.
Modular has Chris Lattner of LLVM, Swift fame. Modular ultimately built a unified, hardware-agnostic AI software stack and maybe Qualcomm thinks that they need to attack nVidia's moat which is CUDA
Modular's MAX platform is essentially vendor-neutral vLLM: it runs interchangeably on AMD or Nvidia hardware already, and because it's built on Mojo (not CUDA), it doesn't require the hand-tuning that porting CUDA kernels demands. For Qualcomm, this is the key — MAX can now natively target Qualcomm's silicon
Qualcomm reportedly has entered advanced talks to acquire Tenstorrent (Jim Keller's AI chip startup) for $8–10 billion, meaning Qualcomm is potentially committing over $14 billion to reshape its AI silicon portfolio within weeks.
Personally, I'm keeping an eye on the disaggregated inference space and it could be that a new architecture might be needed for future inference demand
Claude Opus 4.8 and Sonnet 5 seem worse at tool calling than older models, likely due to post-training that assumes Claude Code-like harnesses as the targets
[Better Models: Worse Tools \ \ About an aggravating tool-calling regression in newer Claude models.\ \ https://lucumr.pocoo.org\\ \
Tuesday 7th July 2026
Tencent Releases Hy3: Efficient Open-Source AI Rivaling Top Models
Hy3 features 295 billion total parameters but activates only 21 billion during use, plus a 3.8 billion-parameter layer for better reasoning and a massive 256,000-token context window
It excels on benchmarks like SWE-Bench Multilingual at 75.8% and Terminal Bench at 71.7%, often matching or beating much larger rivals such as GLM-5.2 and GPT-5.5.
Refined from April 2026 preview feedback and now under permissive Apache 2.0 license, it shines in real-world workflows per blind human evals by 270 experts, earning praise for agent reliability and easy deployment on 8x H200 GPUs.
https://x.com/TencentHunyuan/status/2074148098876768478
Hy3, the new 295B MoE model from @TencentHunyuan, is now free in Nous Portal for the next two weeks!
It is focused on cost-effective agentic use, and particularly strong on coding, tool-calling reliability, reasoning, and 256K long-context tasks.
https://x.com/ZixuanLi_/status/2074017499792756949
via Huzefa
US builds AI, citizens lag 🇺🇸🤖
The US makes most leading AI models but ranks 24th in adoption, with just 28% of working-age Americans using AI regularly. Countries like the UAE and Singapore have higher use after embedding AI in government services and education.
Wednesday 8th July 2026
Microsoft reportedly looking to reduce AI costs is starting to replace models from OpenAI and Anthropic with its MAI models in products like Excel and Outlook
[Microsoft is reportedly ditching OpenAI's and Anthropic's AI models in favor of its own to cut costs - SiliconANGLE \ \ Microsoft is reportedly ditching OpenAI's and Anthropic's AI models in favor of its own to cut costs - SiliconANGLE\ \ https://siliconangle.com\\ \
via my high-school classmate Abhi Ingle, the Chief Product and Strategy Officer of Sambanova whom I recently met after 38 years
Chip startup SambaNova raises $1 billion at an $11 billion valuation, underscoring investors’ conviction in rising demand for infrastructure tied to AI
[$1Bn at a post money of $11bn. So incredibly proud and excited to share the news of our Series F funding round closing. It's been a long journey for the world to see that 'Inferencing is the... | Abhi I. | 35 comments \ \ 1Bn at a post money of $11bn. So incredibly proud and excited to share the news of our Series F funding round closing. It's been a long journey for the world to see that 'Inferencing is the defining workload in AI now and in the future'.\ \ https://www.linkedin.com\\ \
[AI chip maker SambaNova raises $1B at $11B valuation, 5 months after last mega round | TechCrunch \ \ AI chip maker SambaNova has raised at an $11 billion valuation months after Intel was rumored to be trying to buy it for about $1.6 billion.\ \ https://techcrunch.com\\ \
Some links about Sambanova's disaggregated inference approach
[The First Disaggregated Inference Demo for AI Agents Is Live \ \ SambaNova's disaggregated inference uses dedicated GPUs for prefill and SN40 RDUs for decode, delivering 2x the speed of GPU-only setups. See the live demo.\ \ https://sambanova.ai\\ \
[Disaggregated Inference Explained for Enterprise AI \ \ A practical guide to disaggregated inference: the prefill and decode phases, KV cache transfer, and how to scale AI infrastructure. Learn more.\ \ https://sambanova.ai\\ \
China’s MiniMax Plans to Launch 2.7-Trillion Parameter M3 Pro Model
Chinese AI developer MiniMax is preparing a 2.7 trillion parameter large language model called M3 Pro, which is over six times larger than its current flagship M3 model with 428 billion parameters. The model is expected to be released as open source as early as the third quarter. It would become the largest Chinese AI model by parameter count if launched.
Huge: China’s MiniMax Plans to Launch 2.7-Trillion Parameter Model (MiniMax Pro)
tl;dr MiniMax is preparing a 2.7T parameter open-source model, potentially launching as early as Q3.
That would make it far larger than any Chinese model currently on the market, and over 6x bigger
[China's MiniMax plans to launch giant 2.7 trillion parameter model - The Economic Times \ \ Chinese AI firm MiniMax is developing a 2.7 trillion-parameter model. This new model could become the world's largest open-weight AI system. Cheaper Chinese AI models are gaining traction as alternatives to US systems. MiniMax will also launch a multimodal video generation model soon. The company is planning a second listing on Shanghai's STAR Market.\ \ https://economictimes.indiatimes.com\\ \
Thursday 9th July 2026
via David An
What is the CURRENT STAGE OF AI ENTERPRISE ADOPTION ? 🫠 LOWER THAN THE HYPE SUGGESTS. We at Provocation Lab analyzed the US enterprise market:
-> 18% average AI adoption
--> 56% say they won’t use AI in the next 6 months
---> 60% say it’s not even applicable to their business
----> ~96% report no significant change in employment due to AI.
In this video, I explain the data & findings:
Deck is here
via Just-LDA
Do any of you have any recommended tools / game development repos or skills, in particularly for isometric 2D/3D pixel sprite games?
response from Naor W
If I recall correctly Hermes has Godot skill and I've seen MCP for it. There are a couple of repos around it in GitHub.
SpaceXAI announced Grok 4.5 as its first model specialized for coding and agentic tasks, trained in collaboration with Cursor on tens of thousands of NVIDIA GB300 GPUs using RL for multi-step engineering workflows.
Grok 4.5 is now accessible via SpaceXAI console, Grok Build, and Cursor with limits reset for free starts, though unavailable in the EU until mid-July 2026.
Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency.
We've partnered with SpaceXAI to train Grok 4.5.
It’s our most powerful model yet and the first we've built for more than software engineering.
Excited to release Grok 4.5 with @SpaceXAI.
It's an Opus-class model that's fast and low cost. It's a significant step up over any model we've developed so far, including Composer 2.5, and has become the daily driver for many on our team.
First of many releases. More soon.
We've partnered with SpaceXAI to train Grok 4.5.
It’s our most powerful model yet and the first we've built for more than software engineering.
Now that Grok 4.5 is out, here are some of my workflows which I use daily
1. "use as many subagents and tokens as you need"
I end my prompts with the above to tell grok to spin up multiple subagents at the same time to divide and conquer on a hard problem. Grok is smart enough
SpaceXAI’s Grok 4.5 scores 54 to place fourth on the Artificial Analysis Intelligence Index following only Fable 5, GPT-5.5, and Opus 4.8. It scores on par with GPT-5.5 in Codex on the Artificial Analysis Coding Agent Index in the Grok Build harness, at much lower cost
Grok 4.5
We've partnered with SpaceXAI to train Grok 4.5.
It’s our most powerful model yet and the first we've built for more than software engineering.
Excited to release Grok 4.5 with @SpaceXAI.
First of many releases. More soon.
We've partnered with SpaceXAI to train Grok 4.5.
It’s our most powerful model yet and the first we've built for more than software engineering.
Now that Grok 4.5 is out, here are some of my workflows which I use daily
1. "use as many subagents and tokens as you need"
I end my prompts with the above to tell grok to spin up multiple subagents at the same time to divide and conquer on a hard problem. Grok is smart enough
Grok 4.5
Some more tweets from Elon wrt Grok 4.5 including guidance on future updates
Grok 4.5 context window will upgrade to 1M probably by next week
Grok 4.5
Rate of improvement is accelerating.
Users should notice a meaningful improvement in the usefulness of the Grok Build harness with our V9 foundation model (aka Grok 4.5) every week.
Grok 4.5.
Pareto dominant for coding by the numbers.
We will see on the all-important vibes.
Instinct is the benchmarks are likely directionally accurate given the stated focus on real world utility.
Grok 4.5 is not yet using our internally developed C/C++ inference software that exact maps to the GB300 hardware. Doubling or more of the current speed is probably achievable.
I think AI has just hit a gigantic threshold, and Grok 4.5 is the PERFECT example as to why that is.
One of the hardest parts of working with AI is iterating on a project or task that you're working on.
As the models have gotten smarter (and more expensive), it's taking longer
Grok groks engineering.
Next month’s release will be another step-change improvement, as we close the loop on solving real-world engineering problems at Tesla, SpaceX, Neuralink and Boring Company.
Grok 4.5 is built for real-world engineering. It excels in large codebases and handles long-running tasks that span multiple repositories, hundreds of skills, and a variety of tools.
Grok will be able to call Imagine as a tool in agentic mode for image/video generation. As Imagine keeps improving, this will be amazing for game developers!
I got to try Grok 4.5 in early access in Cursor for the past few days and I absolutely enjoyed it.
It feels like Opus 4.8 at 2x the speed at a much cheaper price point.
I tasked it to brainstorm > plan > implement a big feature for my game (this act 1 boss fight) and it did
Meta releases Muse Spark 1.1 agentic and coding AI model through new Meta Model API
Meta launched Muse Spark 1.1, an upgraded multimodal AI model excelling in agentic performance, tool use, computer use, coding, and multimodal reasoning, featuring a 1M token context window and support for parallel sub-agents. The model is available in the Meta AI app and through the new Meta Model API in public preview, marking Meta's first paid AI model for developers with pricing of $1.25 per million input tokens, $0.15 for cached input, and $4.25 for output.
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8.
available now through the new meta model api and in meta ai.
[Introducing Muse Spark 1.1 \ \ Today, we're excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.\ \ https://ai.meta.com\\ \
Friday 10th July 2026
via OpenAI
We’re launching the GPT‑5.6 family of models for general availability following our limited preview: our new flagship, Sol, alongside Terra, a balanced model for everyday work, and Luna, our most cost-efficient model.
[GPT-5.6: Frontier intelligence that scales with your ambition \ \ More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.\ \ https://openai.com\\ \
MiniMax Closes $2 Billion Funding Round as CEO Yan Junjie Commits to Forgo Salary Until AGI Achievement and Donate 5% Equity
MiniMax secured HK$16 billion (approximately $2 billion USD) in a new funding round that was seven times oversubscribed, attracting over 100 investors including global sovereign wealth funds and Chinese institutions. CEO and founder Yan Junjie announced he will receive no salary until the company achieves AGI and will allocate shares equivalent to 4% of the company's total equity from his personal holdings to reward long-term employees, plus 1% to support the open-source comm
I’m incredibly excited to share this:
MiniMax has just closed a new $2B funding round.
At the same time, our CEO, IO, shared three long-term commitments with the team:
• No salary until we achieve AGI.
• Over the next four years, he will dedicate shares equivalent to 4%
A letter from our CEO today:
Markets will fluctuate, and external noise will come and go, but our direction remains unchanged.
Being at the forefront of this industry, we have a clear understanding of the pace of technological evolution and the long-term value we are building
I’m incredibly excited to share this:
MiniMax has just closed a new $2B funding round.
At the same time, our CEO, IO, shared three long-term commitments with the team:
• No salary until we achieve AGI.
• Over the next four years, he will dedicate shares equivalent to 4%
Dylan Field, Figma CEO, responds to designer Gal Shir's viral post claiming an AI tool called Fable 5 created a better logo than he could, prompting Shir to quit design and focus on human consciousness.
Field describes a repeating pattern where new AI models trigger hype and existential crises in creative fields like design, followed by users discovering limitations and stabilizing, amplified by designers' longstanding imposter syndrome.
He argues design's value is rising due to the attention economy, where standout creativity in branding and experiences differentiates winners, urging designers to build confidence, take risks, and educate stakeholders instead of fearing AI replacement.
I have been thinking about whether to comment on this. Not clear if Gal is serious, rage baiting, etc. Whatever the case, it has spread enough in the design community that I want to share some thoughts.
The psychological journey people go through with AI is quite fascinating to
It’s over. I’m quitting design.
A client of mine just created a logo with Fable 5, and the result left me speechless.
It understood the brand story, values, audience, strategy, and turned all of it into a smart, minimal symbol. A genuinely brilliant concept. The kind of idea
via Sam Lai who posted about ChatGPT Voice which is powered by the GPT-Live model
This is very natural voice interaction.
[Introducing GPT-Live \ \ A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.\ \ https://openai.com\\ \
Haven't finished watching this video in its entirety as yet but thought that this might interest some of the folks here.
Tanay Kothari, CEO of Wispr Flow on his small sales team using AI-powered sales systems to close 1,000 enterprise clients monthly by streamlining outreach, discovery, conversion, and post-sales processes.
At least in the brief time that I watched the video , I saw Tanay mentioning Hex Tech as something his data team utilises
PS: I use Wispr Flow extensively
via Chafik Naceri
Hey all i built an ai native platform for mobile gaming studios to turn ideas into production ready mobile games in hours rather than weeks. Check out demo
tell me your feedback
Platform was built to help studios prototype more games ar a fraction of the costs
Saturday 11th July 2026
Chamath Palihapitiya on The All-In Podcast where Chamath reveals his company's AI inference token costs are doubling every 45 days with only about 5% productivity improvement. Chamath explains that further model iterations now demand far more tokens due to hitting diminishing returns and an asymptote in gains, prompting a strategic pause at his firm. He advises AI-related companies to exit or raise funds at current high valuations before widespread cost pressures affect the sector in the next 3-4 years.
8090 works on production systems for large, often regulated, enterprises.
Vibing isn’t tolerated because these are the systems that run western society - banking, power, healthcare, insurance etc.
Over the last few quarters, the gains that we got from using frontier models
Chamath reveals his company's AI token costs are doubling every 45 days but productivity is only up 5%
"I sat down with my CTO today, I said how are we doing on token spend. And he said the most incredible thing, he said right now, our token costs are doubling every 45 days. I
On today's All-In podcast, @chamath dropped a reality check: AI compute costs are doubling every 45 days, but he’s only seeing a 5% productivity bump.
I wrote about this exact dynamic months ago. If you look at this Stanford study, 5% is exactly where AI productivity gains crash
3d rendering, isometric, mountain park, paper work for a tactile style, select a color palette with vibrant colors, blue, and white with green, emphasize textures that rough-textured colored paper, with lighting that creates a warm, golden-hour glow, handmade
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 27-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-27-2026 Q2Kdcut5TwTjKx04MsSeSun, 05 Jul 2026 01:00:08 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
Across the week from Sunday 28 June to Saturday 4 July 2026, AI news focused on making large models faster, cheaper, and more agentic, as DeepSeek open‑sourced DSpark and DeepSpec for speculative decoding with 50–400% per‑user speedups, Coinbase showed that routing to open‑weights models and aggressively raising cache hit‑rates can flatten AI spend even as token usage explodes, and Together AI’s Vipul Ved Prakash argued that stable interfaces plus commoditized silicon are allowing open‑weights ecosystems to scale tokens at an order‑of‑magnitude lower prices. xAI’s Grok 4.5 entered private beta at SpaceX and Tesla on a new 1.5‑trillion‑parameter V9 foundation model augmented with Cursor data, while Anthropic released Claude Sonnet 5 as its most agentic mid‑tier model with 1M context and broad app/API integration, even as community threads questioned inconsistencies in its published performance charts.
Hardware and infrastructure advanced with Etched coming out of stealth touting custom low‑voltage, cluster‑memory inference racks backed by over $1B in contracts and Arm’s CEO describing AI CPU demand as “off the charts,” and on the agent side, new frameworks and skills—from Nous’s 60×‑faster Hermes web reading and Vercel’s eve agent framework, to OpenClaw’s phone companion nodes, WeChat’s mini‑app–based personal agents, obra/superpowers’ multi‑skill coding harness, and LangChain’s OpenWiki for codebase memory—underscored a shift from raw model IQ toward organizational memory, tools, and deployment economics as the real differentiators.
Sunday 28th June 2026
DeepSeek just released DSpark for V4 Flash & Pro, a new speculative decoding method boosting throughput by 51% to 400%!
Deepseek also showed DSpark works well for other models like Gemma & Qwen
DeepSeek just released DSpark for V4 Flash & Pro, a new speculative decoding method boosting throughput by 51% to 400%!
DS also showed DSpark works well for other models like Gemma & Qwen
Github: github.com/deepseek-ai/De…
Paper: github.com/deepseek-ai/De…
HF: huggingface.co/deepseek-ai/De…
Fantastic, @deepseek_ai just published their new inference optimization method.
Proposes DSpark, a semi-parallel speculative decoding system that gave DeepSeek-V4 about 60% to 85% faster per-user generation at matched throughput.
The biggest idea in DSpark is that faster
The inference efficiency layer is where the real compounding is happening right now, and it barely shows up in benchmark leaderboards.
DeepSeek just open-sourced DeepSpec, an MIT-licensed full-stack codebase for training and evaluating speculative decoding algorithms. The
DeepSeek just open-sources another piece of their training stack.
DeepSpec: a full-stack codebase for training and evaluating speculative decoding models
DeepSeek just dropped a 5-page paper + free GitHub repo that makes any LLM respond 80% faster
it's called speculative decoding. in plain english:
Guess → Check → Keep → Repeat
> Guess: a small fast model predicts the next few words
> Check: the big smart model checks all
Brian Armstrong explains how Coinbase halved its AI spend while token usage grew exponentially by implementing better defaults, routing, and caching instead of usage caps or alerts. Key tactics include defaulting to cheaper open-weight models like GLM 5.2 and Kimi 2.7 via an LLM gateway, AI-driven prompt preprocessing for optimal model selection, and raising cache hit rates from 5% to 60% in tools like LibreChat.
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching.
Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting
I'm starting to hit $15-20k per month in token spend for engineering - just for myself.
Next month I'll be looking to implement the kinds of things that Brian is doing here at Coinbase.
Most likely switching to GLM 5.2 as default and only using frontier models for harder
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching.
Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting
This is from a popular inference provider
GLM-5.2 plus the US banning the most capable new models means open source caught up to SOTA closed source coding models
This could be v problematic for Anthropic’s and OpenAI’s revenue projections and IPO plans…
Such a vibe shift happening right now. We've gotten nonstop requests from people who want to start using GLM-5.2. Incredible few weeks for open source models.
Elon Musk announces Grok 4.5 entering private beta at SpaceX and Tesla, powered by a new 1.5T parameter V9 foundation model with supplemental Cursor data training. Early evaluations indicate Grok 4.5 performance is close to or potentially exceeding Claude Opus, with reinforcement learning driving ongoing gains and the Grok Build harness improving daily.
Grok 4.5, based on our 1.5T V9 foundation model, with Cursor data added in supplemental training, is now in private beta at SpaceX & Tesla. Early evals show performance close to, perhaps exceeding Opus.
RL is continuing to significantly improve the model, and the Grok Build
To be clear, I’m not saying the Grok v9 foundation model will be mind-blowingly better than anything, but it will be a solid workhorse in the same league as Opus.
And the SpaceXAI cadence of model and harness improvement is speeding up tremendously, particularly due to a few
In addition to their excellent and unique training data, the Cursor team is also making major engineering contributions to v9 SFT & RL. It’s an honor and a pleasure to work with them.
For this 1.5T run, Cursor data was added in supplemental training, which is not quite as good
Monday 29th June 2026
Vipul Ved Prakash, CEO of Together AI who lurks in this group draws parallels between the PC industry's modular architecture and current AI developments, arguing that stable interfaces like transformers, OpenAI-compatible inference APIs, and agentic harnesses are driving specialization and explosive ecosystem growth.
The essay highlights rapid open-weights model progress through shared recipes (e.g., Rotary embeddings, GQA, MoE), modular frameworks for inference and training, and commoditized silicon, evidenced by Together AI's 10,000x token volume increase and high SWE-bench performance across frontier open models.
Open-weights companies are building viable businesses via API revenue and licensing, offering tokens over an order of magnitude cheaper than closed models, though the post warns of political risks from potential regulatory capture favoring incumbents.
DeepSeek announced peak/off-peak pricing for V4, launching mid-July. Rates double during Beijing business hours (9-12, 14-18).
DeepSeek V4 GA (non-Preview) will launch in ~mid July with a price increase for "peak hours"
Tuesday 30th June 2026
via Chas
New MCP for GEO analysis and website improvement loops
Thought it was interesting as I’ve not seen many that do this well
Today we're introducing the CrowdReply MCP.
The first ever MCP that analyzes and ranks your website in AI search.
Simply talk to it and it'll find where you're missing, then goes in and handles the implementation.
Gokul Rajaram summarizes Nikesh Arora's interview with Harry Stebbings of 20VC on enterprise AI, where the Palo Alto Networks CEO argues "memory" or accumulated user/company context creates the primary competitive moat over raw model intelligence.
Arora stresses enterprises demand depth and zero-tolerance for errors in autonomous agents—unlike forgiving consumer AI—requiring massive edge-case training akin to Waymo's self-driving tech rather than bolting AI onto old workflows.
Key predictions include token prices falling 90%, half of G&A roles disappearing in three years, more demand for engineers and salespeople, and software evolving to offer "opinions" that amplify human output
MEMORY IS THE MOAT
@nikesharora, Chairman & CEO of @PaloAltoNtwks , interviewed by @HarryStebbings ( @20vcFund )
Summary: Nikesh Arora took Palo Alto Networks from an $18 billion company to one worth $225 billion, and his read on enterprise AI is blunt: most companies are
[Nikesh Arora on The Future of Token Costs | Memory Becoming the Moat & Why Enterprise AI Isn't Ready - 20VC with Harry Stebbings \ \ Nikesh Arora, CEO of Palo Alto Networks, shares insights on navigating the rapidly evolving tech landscape, particularly in cybersecurity and AI. He e\ \ https://www.usetranscribe.io\\ \
Wednesday 1st July 2026
Anthropic Releases Claude Sonnet 5 AI Model
Anthropic launched Claude Sonnet 5, its most agentic Sonnet model with substantial improvements over Sonnet 4.6 in reasoning, tool use, coding, and knowledge work, approaching Opus 4.8 performance at lower pricing. It features a 1M context window and is now the default for Free and Pro users, available across Claude apps, API, Claude Code, and integrations including Cursor, GitHub Copilot, Notion, and OpenRouter. Introductory pricing is $2 per million input tokens and $10 per million output tokens until August 31, followed by standard rates of $3/$15
Introducing Claude Sonnet 5, our most agentic Sonnet yet.
It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.
Etched exited stealth announcing custom AI inference racks after a successful A0 tapeout, with $1B+ customer contracts and $800M raised, claiming state-of-the-art throughput, latency, and power efficiency on inference workloads.
The company highlights two innovations: Low-Voltage Inference to boost FLOPs density without thermal throttling for high-throughput tasks like trillion-parameter MoEs, and Cluster-Scale Memory to reduce latency via a shared low-latency pool across chips.
Backed by top investors including Jane Street and HRT plus AI leaders like Hinton, Karpathy, and Thiel, their 400+ engineer team from NVIDIA, Google, and TSMC plans first rack shipments this summer alongside production scaling.
I strongly recommend watching the Youtube interview linked below
We're coming out of stealth.
We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised.
Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads.
Our first racks ship this summer.
via Huzefa
OpenClaw connects your phone to a self hosted AI gateway
OpenClaw released iOS and Android companion node apps that connect your phone to a self hosted AI agent gateway, which can run on macOS, Linux, or Windows (WSL2). The phone becomes the agent body with camera, location, voice and notifications, while the actual chat happens on your computer through the gateway and never on the phone. Privacy matters here, with commands like camera and screen capture needing explicit allowlists and approvals, and connections defaulting to LAN with TLS options for remote access.
via Anthropic
Fable 5 will be available starting tomorrow, Wednesday, July 1, to users globally on the Claude Platform, Claude.ai, Claude Code, and Claude Cowork. For Pro, Max, Team, and select Enterprise plans,1 Fable 5 will be included for up to 50% of weekly usage limits through July 7, after which it will be available via usage credits. We will re-enable access on AWS, Google Cloud, and Microsoft Foundry as quickly as possible.
via Alex
Metrics massaging by Anthropic.
They published two contradictory performance evals for Sonnet 5 within a day.
One saw Sonnet 5 pareto optimal against Opus 4.8, another with a significant gap albeit a lower pass rate.
Given that both charts referenced the same methodology, it means that either Anthropic faked the numbers or was sloppy in its application.
Imho it shows that without neutral third party tests, "Agentic" metrics are not to be trusted.
Here the 2 contradictory charts & reddit discussion:
Hermes Agent Upgrade Delivers 60x Faster Web Reading
Nous Research updated its popular open-source Hermes Agent to process scraped web pages directly, eliminating a redundant LLM summarizer that previously added time and costs. For large pages, content caches locally, with the agent accessing sections as needed, delivering 11.7 times average speedup and 23 times cost savings while matching or improving answer quality.
Hermes Agent now reads the web up to 60x faster and 49x cheaper.
Scraping backends pass clean content straight to the agent without redundant processing steps; large pages are saved locally and paged on demand so you get the same quality at a fraction of the time and cost.
[Web Search & Extract | Hermes Agent \ \ Search the web and extract page content with multiple backend providers - including free self-hosted SearXNG.\ \ https://hermes-agent.nousresearch.com\\ \
[feat(web_extract): truncate-and-store instead of LLM summarization by teknium1 · Pull Request #54843 · NousResearch/hermes-agent \ \ Summary web_extract returns clean page content directly instead of running an auxiliary LLM over every scraped page - a live before/after eval shows 11.7x faster overall (176.6s → 15.1s across 4 UR...\ \ https://github.com\\ \
Thursday 2nd July 2026
via Bill Gurley of Benchmark Capital
WeChat has been a little quiet on AI front & perhaps even falling into being considered a laggard. But this week, Pony Ma presented a new vision on how to turn "mini-apps" (still no real equivalent in US) into AI handshakes
WeChat has been a little quiet on AI front & perhaps even falling into being considered a laggard. But this week, Pony Ma presented a new vision on how to turn "mini-apps" (still no real equivalent in US) into AI handshakes. Manny partners announced. Could be a powerful move.
WeChat has been somewhat quiet in AI land. Now Pony Ma comes out swinging. Leveraging min-apps as a path to being your personal AI agent. Read more below.
crossingriver.substack.com/p/4-million-mi…
[4 Million Mini-Programs, One AI Agent: WeChat's Bet to Own China's Digital Life \ \ With 1.4 billion monthly users and 4 million mini-programs, WeChat isn't building an AI chatbot. It's building the infrastructure layer for everything.\ \ https://crossingriver.substack.com\\ \
Friday 3rd July 2026
Tae Kim's Interview with Arm CEO Rene Haas: AI CPU Demand is 'Off the Charts'
[An Interview with Arm CEO Rene Haas: AI CPU Demand is 'Off the Charts' \ \ Key Context spoke with Arm CEO Rene Haas to discuss the state of the AI market.\ \ https://taekim.substack.com\\ \
Vercel's Andrew Qu on why agents are a new kind of software
In this Latent Space interview, Vercel's Chief of Software Andrew Qu explains how the company's evolution from shipping web applications to building agents — driven by pain points encountered while developing the v0 vibe-coding product (model switching, fallbacks, resumability) — led to eve, Vercel's agent framework that bundles prescriptive primitives like filesystem agents, skills, compaction, and subagents so developers don't have to rediscover best practices.
Qu argues agents are a genuinely new software category requiring different infrastructure for context, tools, and long-running work, and emphasizes two emerging priorities: skills as portable, on-demand knowledge that forward-corrects outdated model information, and an agent-readable web where Vercel already detects agent requests and serves Markdown instead of HTML. He also reveals that Vercel is effectively turning itself into an agent — with capabilities embedded across its website, Slack, and dashboard — while flagging multiplayer agent development (sharing context across teammates) as a key unsolved problem.
[Vercel's Andrew Qu on why agents are a new kind of software \ \ The Vercel Chief of Software explains how its agent framework, eve, was created - and why skills, sandboxes and agent-readable websites now matter.\ \ https://www.latent.space\\ \
obra/superpowers is an agentic skills framework for multiple coding harness built by Jesse Vincent
Rather than a single prompt, it bundles about 14 reusable skills - brainstorming, spec writing, plan writing, test-driven development, and systematic debugging among them - into a methodology the agent follows as it works.
The scale of adoption is hard to ignore: around 244,000 GitHub stars and 21,000 forks, making it one of the most-starred projects in the Claude Code ecosystem. It was created in October 2025, remains highly active with a v6.1.0 release in June 2026, and has been accepted into Anthropic's official Claude Code plugin marketplace.
[Superpowers 6 \ \ TL;DR: Superpowers 6 is much, much faster and burns many fewer tokens to get the same high-quality outcomes. If you're tokenmaxxing, maybe skip this release, but if you care about your builds being up to 50% faster and up to 60% cheaper, you're going to love Superpowers 6.\ \ https://primeradiant.com\\ \
[GitHub - obra/superpowers: An agentic skills framework & software development methodology that works. \ \ An agentic skills framework & software development methodology that works. - obra/superpowers\ \ https://github.com\\ \
Saturday 4th July 2026
LangChain shipped OpenWiki last week. It is a command-line tool that reads your codebase, generates a wiki, and keeps it updated as the code changes. The wiki is not documentation for humans. It is context for coding agents.
OpenWiki is at 1.7k stars in just 3 days!
Right now it's just for codebases, but we're working to expand it to everything for memory.
What do you want to see in a general purpose memory wiki agent?
The cover image of this newsletter via generated via the ChatGPT Image 2 model within the Krea tool via the following prompt
A close-up of water lilies using the palette knife technique, in the style of Monet, impressionist, rich and textured brushstrokes that capture the play of light, reminiscent of springtime meadows, Monet's French countryside color scheme
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 26-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-26-2026 92n9lsXUH2OnkrJxyicISun, 28 Jun 2026 02:44:48 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
During the week of June 21–27, 2026, major developments across AI spanned infrastructure, models, and applications. Qualcomm announced a nearly $4 billion acquisition of Modular, the AI chip software platform founded by Chris Lattner, highlighting tighter hardware–software integration. OpenAI previewed GPT-5.6 (Sol, Terra, Luna) amid U.S. cyber risk coordination, while export restrictions eased for Anthropic’s Claude Mythos 5 but not Fable 5. ByteDance launched Seedance 2.5 for 4K, 30-second video generation.
On tooling, OpenRouter introduced a unified image API across 30+ models, NVIDIA adopted LiteLLM as the internal gateway for its engineers to access 100+ models, Sakana AI introduced Fugu, a multi-agent orchestration system accessible through a single OpenAI-compatible endpoint. Vedang Vatsa published a mapping of the AI agent infrastructure ecosystem covering 75+ companies and $14B in funding. Industry commentary focused on AI’s impact on jobs, creativity, and infrastructure demand, alongside rising Chinese model usage and forecasts of increasing convergence between real and synthetic media.
Sunday 21st June 2026
Monday 22nd June 2026
Tuesday 23rd June 2026
via Huzefa
Claude Predicts a Blur in Truth
Claude, the AI system, thinks that in about five years it might become really hard to tell what’s actually true anymore. With all the deepfakes and misinformation growing, the line between real and fake could get pretty blurry. It’s a warning about how fast tech is changing and how it might shake up our perception of reality.
via Yuki Endo
Hello. Japan's Sakana AI just dropped Fugu.
A full multi-agent orchestration system accessible through a single API. The interesting part isn't another benchmark race—it's the idea that the future may belong to coordinated intelligence rather than a single giant model.
Definitely worth trying. This could be the next big shift in AI infrastructure. This is smart as security layer
various discussions on the above primarily around pricing points
Prashish: This is much needed, a middle ground between $20 and $100. $20 usage is low, and $100 is way high for normal everyday use
Lane Rettig: This pricing model is the one that nearly all big AI projects seem to have landed on.
via Y Yang
This is exactly the kind of problem I am trying to understand better.
For context, I am working on InferHub, an OpenAI-compatible multi-model API gateway. The idea is to make it easy to switch between models like GPT, Claude and Gemini through one endpoint.
If your main issue is provider switching, cache misses, cost, or fallback behavior, I would be happy to give you free credits to test it. No pressure to use it long term; I am mainly looking for feedback from people building real AI apps.
Your use case sounds like: "I think I’m hitting the limit of the Github Copilot + OpenRouter workflow financially. My setup: PhpStorm Github Copilot extension OpenRouter mostly DeepSeek V4 Flash in ag"
Wednesday 24th June 2026
via David An
hi everyone, I am sharing my presentation on the research topic of "HOW CAN ARTIFICIAL INTELLIGENCE DRIVE HUMAN CREATIVITY?
[Provocation Lab Research Brief #1 - Human-AI Collaboration in Creativity | Dr. David An | 14 comments \ \ HOW CAN ARTIFICIAL INTELLIGENCE DRIVE HUMAN CREATIVITY? This is what I discuss by introducing a research study written by the Institute of AI in Management Ludwig-Maximilians-Universität München.\ \ https://www.linkedin.com\\ \
Qualcomm plans to acquire Modular, which builds a chip software platform and has a proprietary coding language, in a nearly $4B deal set to close in H2 2026
Modular was founded by Chris Latner who created LLVM as well as the Swift programming language and was briefly head of Tesla's Autopilot software
I'm excited to share that Qualcomm is acquiring Modular: this will accelerate our path to unifying accelerated compute with an open platform. This will also mark a new era in open software development for Qualcomm.
Hardware plus software defines leadership in the AI era. Today we announced an agreement to acquire @Modular, advancing our evolution as a developer-first AI solutions company delivering generative and agentic AI from edge to cloud.
[Qualcomm Buys Buzzy Chip Startup Modular for Nearly $4 Billion \ \ Modular, one of the most promising chip software startups of the AI era, heads for a multibillion-dollar exit.\ \ https://www.wired.com\\ \
ByteDance unveils Seedance 2.5, saying the AI video model can generate up to 30-second clips from up to 50 reference materials, up from 12 for Seedance 2.0
Seedance 2.5 is mythos moment of Video Models
> more than 30 seconds
> 4k resolution
> prompt adherence is on another level that we never seen before
> our reports was right , this is why follow us and join our server
> July will be do much fun
Seedance 2.5 is coming to Renoise
→ 30-second native video output in a single clip
→ Up to 50 multimodal reference inputs
→ Native 4K video generation
Stay tuned
Holy Shit Seedance 2.5 is Insane
> ByteDance just announced it, general release early July
> 30 second videos in a single generation
> references up to 50 inputs — images, video, audio
> 4K output, edit the whole thing with just text
> "make a 30s CM from this product photo +
ByteDance has officially confirmed Seedance 2.5 as the model name
> Early July Launch Date
Key features:
- 30-second single-shot native video output.
- Reference material capacity greatly increased.
- More controllable video generation and editing
Cc: @MarsForTech
Thursday 25th June 2026
OpenRouter launched a unified Image API providing access to 30+ image generation models from 8 providers including Google, OpenAI, Black Forest Labs, Recraft, ByteDance, and xAI. Features include a single normalized request format across providers, transparent per-image USD pricing in responses, optional provider-specific parameters, and SSE streaming support for models like OpenAI's GPT Image.
Introducing a new, dedicated Image API, including typed dynamic capabilities.
Unified access to 30+ image gen models from 8 providers: Google, OpenAI, Black Forest Labs, Recraft, ByteDance, Sourceful, Microsoft, and xAI
Plus, a new solution to image API heterogeneity
via Casey Newton
Q&A with AWS CEO Matt Garman on the parallels between early AWS and AI, Quick, AI coding, Amazon's $200B capex in 2026, entry-level jobs changing, and more
[The CEO of AWS on why Amazon is hiring 11,000 interns and junior employees \ \ Matt Garman argues that junior employees are as necessary as ever. But AWS now sells agents that can recruit, code, and process claims. Will the balance hold?\ \ https://www.platformer.news\\ \
Friday 26th June 2026
Saturday 27th June 2026
OpenAI Launches Limited GPT-5.6 Preview at U.S. Government Request
The company introduced Sol, Terra, and Luna through its API and Codex platform, with Sol leading benchmarks on complex command-line tasks like vulnerability research. This limited preview follows federal guidance and a Trump administration executive order on reviewing AI systems with cyber risks, including recent meetings between CEO Sam Altman and Commerce Secretary Howard Lutnick. OpenAI previewed the models with officials beforehand and anticipates wider access soon, amid debates over whether the process stifles innovation or wisely addresses misuse risks.
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
\ \ openai.com Previewing GPT-5.6 Sol: a next-generation model \ \ OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.](https://t.co/OoM83SyISN)
via Alex
Percentage of chinese models' token share on OpenRouter up 3x over a year
Haseeb of DragonFly has his own strong take on what inferences can be drawn from this OpenRouter data and I agree to a large extent. US Frontier Lab usage isn't showing up on OpenRouter
Once again: share of tokens is a stupid measurement. You want dollar-weighted.
Problems with drawing inferences based on raw token usage on OpenRouter:
\* Chinese labs routinely launch new models with high subsidies or even free usage for the first couple of weeks. This attracts
"the share of tokens used for US models on OpenRouter has collapsed": Bloomberg
US. Government Lifts Export Block on Anthropic's Claude Mythos 5 Model for Over 100 Approved U.S. Companies and Agencies
The Trump Administration, via Commerce Secretary Howard Lutnick's letter to Anthropic co-founder Tom Brown, partially lifted export controls on Anthropic's Claude Mythos 5 AI model, permitting its release to more than 100 trusted U.S. companies and federal agencies after weeks of negotiations over national security concerns
Restrictions on Fable 5 remain in place, with Anthropic committing to collaborate on future model release protocols and standards.
Since June 12, we’ve been working closely with the US government to restore access to Claude Mythos 5 and Fable 5. Today, the government notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of US organizations that operate and defend critical
How Thousands of NVIDIA Engineers Access 100+ AI Models Through a Unified Inference Service
NVIDIA engineers faced fragmented access to 100+ AI models across cloud providers, open source, and internal services with different APIs and credentials.
The IT Inference team built the Enterprise Inference Hub centered on LiteLLM as a unified gateway.
Applications use one OpenAI-compatible API and single credentials while LiteLLM handles routing, authentication, and metrics.
Centralized control enables usage monitoring, token accounting, cost visibility, budget enforcement, and easy model portability.
The hub now processes trillions of tokens weekly, letting engineers focus on building AI apps without infrastructure complexity.
via Vedang Vatsa
This paper maps the entire AI agent infrastructure stack -> 8-layers from compute to security and tracks $14B funding:
I mapped the entire AI agent infrastructure market. 75+ companies, over $14B in tracked funding, 8 infrastructure layers.
Most of the money is going to 2 layers. Bigger platforms are starting to absorb the other 6.
A thread on what I found.
a painting of a woman holding a red umbrella, in the style of fluid dynamic brushwork, textured canvas, graceful balance, dark orange and white, whirly, i can't believe how beautiful this is, energetic street artist --ar 73:105 --stylize 750 --v 6
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 25-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-25-2026 5IqW1Mf4i0yY28dcVVYpFri, 26 Jun 2026 12:10:36 GMTThis post originally meant to go out on 21st June was delayed because I had taken some personal time off to participate in Ashara Mubaraka [from 16th to 24th June]
This Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
The week of June 14–20, 2026 saw high-profile industry consolidation, with SpaceX acquiring Cursor AI in a $60 billion all-stock deal aimed at accelerating model development on its Colossus supercomputer. Model releases continued to push boundaries, headlined by GLM-5.2—an open-weight model with a 1-million-token context window and competitive pricing. On the talent front, Noam Shazeer, co-inventor of the Transformer architecture, departed Google for OpenAI, while Microsoft's Satya Nadella outlined a strategy centered on companies owning their own "learning loops" and building "token capital" from internal data. Market concerns also surfaced, including leaked reports questioning OpenAI's financial stability and broader commentary on unsustainable business models across the sector. On the product side, Midjourney announced a healthcare division, CozyBlanket Pro introduced real-time AI topology prediction for 3D modeling, and MLX-LoRA-Studio brought local LoRA fine-tuning to Apple Silicon Macs.
Sunday 14th June 2026
via Sam O who asked the following question
What do you think about what is said in this video ?
Short summary of the video: The AI industry is facing a potential collapse due to unsustainable business models, over-reliance on hype, and financial struggles, which may ultimately lead to a significant downturn in the industry.
Monday 15th June 2026
Satya Nadella Outlines AI's Future for Businesses in Detailed Post
Satya Nadella says companies must own their AI “learning loops” to compound human and token capital. He describes a 'cognitive loop' where human judgment guides AI, emphasizing two key assets: employees' ingenuity and 'token capital' from custom AI developed on private data. He warns against AI labs capturing all value, pushing for a 'frontier ecosystem' that spreads benefits across firms and nations while avoiding industry hollowing. Tech leaders praised the positive vision, though critics pointed to job risks from Microsoft's own layoffs and workflow automation.
Satya’s post is worth reading closely because it gets at the real AI question for companies.
Who captures the learning?
His argument is that companies are becoming a new kind of learning system.
People bring judgment, taste, relationships, context and ambition. AI brings
Great post. The companies that are able to get their unique IP, institutional knowledge, and data into a format and architecture that lets them capture all of the gains and progress in AI are going to be in the best position in the future.
“the real opportunity is not in picking
Tuesday 16th June 2026
via Alex in response to Sam O's question on 14th June
Ed Zitron just leaked financials of OpenAI 😬 (good read):
https://www.wheresyoured.at/exclusive-openai-financials/?ref=ed-zitrons-wheres-your-ed-at-newsletter
Numbers read almost as badly as the SPCX S1.
If the numbers turn out to be real, this is 30~40% less revenue & >800% higher losses than claimed/hinted at by Sam previously
Here the FT reporting, they wouldnt publish without proper vetting. Super bearish:
https://www.ft.com/content/e15b0d7e-ff6b-4f16-ba7a-4068feddb828?syn-25a6b1a6=1
Lol, the FT just updated the article. They now claim that 77% of the losses booked last year (30 out of 39B$) might be attributable to the non-profit restructuring, which would be a much better case.
21B$ costs from operations on 13B$ of revenue.
Sorry, last message from my side on this (I just find the economies of scale of frontier models fascinating and have to share).
Im in Ed's discord and he now claims that he expects the real costs of operations to be much higher given that the leaked numbers are non-GAAP and are artificially reduced by removing at least 30% by associating costs to listed stakeholders (e.g. Microsoft).
He expects 9$ spent on 1$ earned.
Time will tell.
SpaceX announced it exercised its option to acquire Cursor AI, the leading AI code editor by Anysphere, in an all-stock $60 billion transaction aimed at building the world's most useful AI models.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI.
The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will
Wednesday 17th June 2026
GLM-5.2 offers a 1 million token context window, two reasoning modes, and low pricing at $1.40 per million input tokens. It leads as the top open-weight model on Arena.ai's Code Arena: Frontend with a 1,595 Elo score, dominates subcategories like Gaming and Data & Analytics, and ranks #3 on the tough FrontierSWE benchmark. Developers highlight its 11-times cheaper cost over competitors and real-world coding skills
Introducing GLM-5.2: Frontier Intelligence, Open Weights
- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong
Exciting news: GLM-5.2 (Max) ranks #2 in Code Arena: Frontend, with +29pt over Claude Opus 4.7 (Thinking) and only behind Fable 5! GLM-5.2 is the best open model vs Kimi-K2.6 and Minimax-M3 by a large margin.
- #2 React and #4 HTML sub-leaderboards
- Ranks as the top model in
GLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1 open model by a wide margin!
In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of
Thursday 18th June 2026
Noam Shazeer, co-inventor of the Transformer architecture and Mixture of Experts, announced he is leaving Google to join OpenAI. Shazeer joined Google in 2000, co-led Gemini after returning from founding Character.AI, which Google acquired for $2.7 billion in 2024.
I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.
It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to
via Anthony Estebe
Hello everyone,
I’m trying to better understand how companies are actually using AI in their day-to-day operations.
Not the hype, and not coding, more things like admin, reporting, sales, support, internal knowledge, workflows, etc.
If you run a business or are involved in operations, I’d love your feedback. It takes around 2 minutes:
[I'm doing a small market study on how companies are actually using AI today. Not for coding or technical work, but to run the business: operations, admin, sales, reporting, support, internal... | Anthony ESTEBE \ \ I'm doing a small market study on how companies are actually using AI today. Not for coding or technical work, but to run the business: operations, admin, sales, reporting, support, internal knowledge, documents, coordination, etc. I'd love to hear from founders, CEOs, COOs, operations leads, and business owners.\ \ https://www.linkedin.com\\ \
via Ben
This is pretty amazing. Never would’ve expected this
Midjourney made new scanning tech
“Announcing a new division of Midjourney called "Midjourney Medical"”
Announcing a new division of Midjourney called "Midjourney Medical"
Friday 19th June 2026
via Kevin Dent
This is WOW
Base mesh creation in under 60 seconds with CozyBlanket Pro's guided AI topology predictor, fully real-time.
Currently in development.
Saturday 20th June 2026
via Robby Yung
via George Isichos
There's a new app that lets you post-train models on any Mac with enough RAM. You can experiment with most popular finetuning frameworks like LoRA/QLoRA, full fine-tuning, or Quantization-Aware Training (QAT) that Gemma 4 recently used. I find it amazing that after local inference, any user can also create a customized version of Gemma 4 or Qwen3.5/3.6 at home.
[GitHub - Goekdeniz-Guelmez/MLX-LoRA-Studio: A native Mac App for LLM fine-tuning on Apple Silicon - fully on-device, fully open source. \ \ A native Mac App for LLM fine-tuning on Apple Silicon - fully on-device, fully open source. - Goekdeniz-Guelmez/MLX-LoRA-Studio\ \ https://github.com\\ \
The cover image of this newsletter via generated via the Nano Banana Pro model within the Krea tool via the following prompt
Overgrown blooming flower, garden, Italian ornate courtyard, Watercolor, trending on artstation, sharp focus, studio photo, intricate details, highly detailed
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 24-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-24-2026 xJA3ta9E2FyZ4DC8AhkdSun, 14 Jun 2026 01:47:18 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
The week of June 7–13, 2026 saw model releases dominate the AI landscape, with Anthropic introducing Claude Fable 5, Z.ai launching GLM-5.2 with a 1 million-token context window, NexEcosystem announcing the Nex-N2 open-weight agentic family, Moonshot releasing Kimi-K2.7-Code for coding efficiency, and Google upgrading NotebookLM with Gemini 3.5 and agentic capabilities. In infrastructure, Harvey AI and Trajectory Labs post-trained NVIDIA's Nemotron 3 Ultra for legal tasks, and an authentication layer was released to connect agents like Hermes and OpenClaw to commercial APIs.
The week closed with a significant policy disruption as the US government issued an export control directive suspending all non-US access to Fable 5 and Mythos 5, forcing Anthropic to disable the models worldwide. Meanwhile, investor Ray Dalio warned of an AI bubble, OpenAI reportedly considered price cuts to compete with Anthropic, and Cognition's coding benchmark found most frontier models produce largely unusable output.
Sunday 7th June 2026
via Huzefa
In an interview on Bloomberg Television, Dalio said that all great technological changes create bubbles and that AI was showing the typical signs of this pattern. Investor Ray Dalio says the AI bubble will burst in the next few years unless startups start making billions. Currently, AI companies spend about 8 times more than they earn. The sector needs to generate $2 trillion annually by 2030 to justify current investments.
Dalio compares the AI bubble to past tech bubbles like dotcoms, where stock prices rose on hype but lacked real profits. He acknowledges AI will change the world but doubts its economic viability so far.
Monday 8th June 2026
My friend Ian Rogers of Ledger just published on Rick Rubin's Tetragrammaton on why AI will be many things, but never human. He argues that while AI will become pervasive, persuasive, and highly “personality-like,” it remains a tool rather than a person, and the real danger is humans forgetting that distinction and granting it moral or legal status.
Tuesday 9th June 2026
Google upgrades NotebookLM, which now runs on Gemini 3.5 and Antigravity, to deliver new agentic capabilities and more advanced reasoning for AI Ultra users
Introducing a more powerful NotebookLM
Massive upgrades deliver agentic capabilities in chat, more advanced reasoning, and a suite of new output formats. Tackling complex, multi-step research problems has never been easier.
Rolling out now to Google AI Ultra subscribers.
[Do better research with NotebookLM \ \ NotebookLM's latest upgrades deliver new agentic capabilities and more advanced reasoning to tackle complex research projects.\ \ https://blog.google\\ \
[Gemini 3.5 and Antigravity come to Google NotebookLM \ \ NotebookLM is getting a big upgrade, but it's only for AI Ultra and enterprise accounts right now.\ \ https://arstechnica.com\\ \
Cognition, creators of the AI software engineer Devin, launched FrontierCode, a new coding benchmark that evaluates whether AI-generated code would be merged by expert open-source maintainers rather than just passing functional tests.
Tasks were hand-crafted by maintainers from 36 major repositories with over 40 hours invested per task, using unit tests, rubrics, scope checks, and novel verifiers like mutagent to assess quality, style, test effectiveness, and codebase adherence.
Leading models show major gaps on the 50-task Diamond set, with Claude Opus 4.8 topping at 13.4%, GPT-5.5 at 6.3%, and open models lower, while reducing misclassification errors by 81% versus SWE-Bench Pro.
Introducing FrontierCode: a coding eval that raises the bar for difficulty & quality. Each task took 40+ hrs of work by leading open-source maintainers.
Models write sloppy code that works but isn’t maintainable. Our eval is first to measure: would you actually merge this code?
It's finally out!!! @METR_Evals found that more than half of SWEBench results is unmergeable slop. FrontierCode represents over 1000+ hours of maintainer validated software engineering work most frontier models cannot yet solve, much less solve with high quality.
Cog had IOI
Introducing FrontierCode: a coding eval that raises the bar for difficulty & quality. Each task took 40+ hrs of work by leading open-source maintainers.
Models write sloppy code that works but isn’t maintainable. Our eval is first to measure: would you actually merge this code?
Wednesday 10th June 2026
via Ben
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
Comment from Anya Shapina on Fable's release
Day 1 using Fable - so far, extraordinary! Quality, speed, rule-following. Use case - building agents on MastaAI (ts). Haven't check token burn :) Anyone else?
Thursday 11th June 2026
Harvey AI partnered with Trajectory Labs to post-train NVIDIA's open-weight Nemotron 3 Ultra on their Legal Agent Benchmark, lifting its all-pass rate from 0% to 5.8% and rubric pass rate to 81%, placing it between Claude Sonnet 4.6 and Opus 4.6.
Post-training shifted held-out task reliability from ~70% to ~95% rubric pass rates within 24 hours of the base model's release, using the same data and platform recipe applied to prior Nemotron versions.
The resulting legal agent matches closed-model performance bands while operating at 1/8th to 1/50th the per-token cost, demonstrating rapid domain specialization of open models for high-value verticals like law.
We partnered with @trajectorylabs to post-train NVIDIA Nemotron 3 Ultra for legal. Here’s what we found:
- Open-weight models can reach frontier legal performance.
On our Legal Agent Benchmark (LAB), Nemotron 3 Ultra started at a 0% all-pass rate. After post-training, it
1/ We post-trained @nvidia Nemotron 3 Ultra on @harvey Legal Agent Bench in under 24 hours.
The result: an open model reaching the same band as leading closed models on legal work, at a fraction of the cost.
The correlating story: when a new open model ships, Trajectory can
via the Wall Street Journal so it may be behind a paywall
Sources: OpenAI is considering drastically lowering its price for tokens in anticipation of similar cuts the company expects at Anthropic
SemiAnalysis bought all consumer plans from Anthropic and OpenAI, then pushed them to weekly limits with intense coding tasks. Their tests showed OpenAI's $200 Pro 20x plan equals up to $14,000 in monthly API value, while Anthropic's $200 Max 20x reaches $8,000—many times the subscription cost. The firm notes these heavy subsidies hook developers, though limits evolve and skeptics question long-term sustainability as companies adjust rates.
Recently, we purchased one of each Anthropic/OpenAI subscription plan and randomly ran long horizon coding tasks until we exhausted the weekly limit. It's widely believed that a $200/month plan maxes out at ~$2000/month worth of tokens (assuming API pricing). However, we found
Friday 12th June 2026
via Ming Guang Yong
For folks with hermes and openclaw, I have build an authentication layer ( https://mybrandmetrics.com) to various apps that I use like Google Ads, Facebook Ads, Google workspace (calendar, sheets, drive, gmail), Youtube, Instagram, Tiktok (mainly on the social media side) that can connect agents to (openclaw and hermes agent). It's currently free. I have been using it for my own Google Workspace use cases like finding emails, copying content from emails into google sheets, creating calendar invites with attachments. Looking for some folks to test and give feedback. Pls try it out and DM me
This authentication layer enables agents to connect to APIs and data in these apps. I also have the associated skills at https://clawbus.com/skills
NexEcosystem announces Nex-N2, a new open-weight family of agentic models emphasizing unified "Agentic Thinking" that fuses reasoning, coding, search, and tool use into one coherent loop with adaptive depth scaling for efficiency.
The self-reported numbers are spicy
75.3 on Terminal-Bench 2.1
80.8 on SWE-Bench Verified
90.7 on GPQA Diamond
Currently available for free via OpenRouter
Nex-N2 is here!
A family of agentic models that doesn't just think, it acts!
Coding, search, tool use. All fused into a single agentic reasoning loop.
- Adaptive Thinking, auto-scales reasoning depth per step. Saves ~20% tokens, zero performance loss.
- Coherent Thinking, one
Nex-N2 is now open source！An agentic model series from Nex AGI built for coding, tool use, deep research, and long-horizon workflows.
● Models: Nex-N2-Pro 397B total, 17B active; Nex-N2-mini 35B total, 3B active
●
Couple of links about AI created micro-dramas which are picking up in China and may become popular in the US.
Roope Rainisto , Creative AI lead at Supercell who also lurks in this group has created a product named Beat Bandit which generates scripts for different formats including micro-dramas [site has some rendering issues currently which I've let Roope know]
https://x.com/ollieforsyth/status/2058773143091896679
Short dramas have quietly scaled into a mainstream format, and most of the US still hasn't noticed.
Serialized, vertical, and made for the phone. Episodes run one to two minutes, seasons run 100 to 150.
In China it's already obvious. More viewing time now goes to short dramas
Followup message from Roope himself
Yeah, working on BeatBandit - you are the showrunner and that's your writers' room - use the team a little, use the team a lot.
I've been running it through Claude Fable for a few days now through the MCP - pretty brutal workflow to allow Claude to read the code, simulate the user, evaluate the result, pinpoint things in the code that are not optimal - rinse and repeat. Fable is smarter than me, tough pill to swallow but it is what it is. :)
Kimi-Moonshot announces the open-source release of Kimi-K2.7-Code, a specialized coding model with strong gains over K2.6: +21.8% on Kimi Code Bench v2, +11% on Program Bench, +31.5% on MLS Bench Lite, plus 30% fewer reasoning tokens and better long-horizon task success.
Benchmark charts show K2.7-Code outperforming K2.6 while closing the gap or exceeding GPT-5.5 and Opus 4.8 (xhigh) on coding and agent metrics, with a performance-vs-tokens plot highlighting reduced overthinking and higher efficiency.
The model is immediately available via Kimi API and Kimi Code, with 6x high-speed mode incoming and a new beta program for early testing of upcoming features
Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!
Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite.
Reasoning efficiency: Less overthinking, with 30% lower
Saturday 13th June 2026
Anthropic reveals a US government export control directive citing national security has forced the suspension of Fable 5 and Mythos 5 access for all foreign nationals, including their own foreign employees.
To comply, the company must immediately disable these models for every customer worldwide, while access to other Claude models remains fully operational.
Anthropic calls the order a misunderstanding, apologizes for the disruption, and states it is working urgently to restore service as soon as possible.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of
\ \ anthropic.com Statement on the US government directive to suspend access to Fable 5 and Mythos 5 \ \ The US government has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States.](https://t.co/bwn0sximKZ)
Z.ai released its flagship GLM-5.2 AI model to paid Coding Plan users, highlighting its strengths in coding tasks with a 1 million-token context window and adjustable thinking levels for complex workflows. Full API access and open-sourcing under the MIT license arrive next week
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.
GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.
As our new flagship model, GLM-5.2 delivers
The Great Wave : "Blossoming Cataclysm" Photorealistic : State-of-the-art photorealistic , leveraging advanced AI imaging capabilities. Landscape : Supernova erupting into a colossal red flower , marrying intense beauty with awe-inspiring realism. Message: Artistic convergence of cosmic power and giant blooms , evoking a vivid and visceral explosion. Format: A visually arresting masterpiece , showcasing the zenith of modern imaging techniques, ideal for gallery and prestigious exhibitions.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 23-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-23-2026 gX884g03Mfy8ZT11cC84Sun, 07 Jun 2026 01:19:27 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
During the week of May 31 to June 6, 2026, the AI landscape was defined by a wave of model releases, escalating cost concerns, and infrastructure advances. Major model launches came from MiniMax (M3), NVIDIA (Nemotron 3 Ultra), Alibaba (Qwen3.7-Plus), Google DeepMind (Gemma 4 12B), and Microsoft (seven MAI models), while Anthropic reported Claude now authors 80% of its own codebase and OpenAI updated ChatGPT's memory system. On the cost front, an unnamed firm's $500M Claude AI bill dominated headlines, spurring broader cost-control moves — Uber capped AI spending at $1,500 per employee monthly, and tools like Factory Router and Lindy's migration to DeepSeek v4 demonstrated significant savings. Infrastructure and tooling saw updates from Perplexity's "Search as Code," SambaNova's disaggregated inference, Supabase's $500M raise, OpenAI's Codex plugins, Grok Composer 2.5, and Scaledown.ai launch of small-language-model services for compression and summarization
Sunday 31st May 2026
Unnamed firm racks up $500M Claude AI bill in one month
An unnamed enterprise client spent more than $500 million in just 30 days on Anthropic's Claude AI platform after failing to set any usage limits or spending caps for employees, according to an Axios investigation published on May 28. The disclosure, made by an AI consultant whose client generated the bill, may represent one of the costliest IT governance failures on record
[When AI costs spiral: A company accidentally spent $500 million in one month on Claude AI- what went wrong? | Company Business News \ \ An enterprise client spent $500 million in a single month on Claude AI after failing to set employee usage limits, exposing a growing crisis in corporate AI cost governance.\ \ https://www.livemint.com\\ \
Xiaomi just published a deep dive into the end-to-end inference engineering behind MiMo-V2.5 and MiMo-V2.5-Pro — and it’s a strong example of how architecture + systems work together to unlock real production gains.
Inference Optimizations Behind the MiMo-V2.5 Series API Price Reductions
Read the full technical blog: mimo.xiaomi.com/blog/mimo-v2-5…
The V2.5 model family, including MiMo-V2.5 and MiMo-V2.5-Pro, is built on a Hybrid Sliding Window Attention (Hybrid SWA) architecture, which
The big story: Hybrid Sliding Window Attention (Hybrid SWA). By
What’s new with MiMo-V2.5 series inference?
We just published a blog on our full pipeline inference optimizations for MiMo-V2.5 series, including how we pushed hybrid SWA efficiency to the limit.
Read the full blog here:
mimo.xiaomi.com/blog/mimo-v2-5…
Monday 1st June 2026
MiniMax Launches M3 AI Model for Coding and Agents
Chinese AI lab MiniMax released its M3 model excelling in coding, agentic reasoning, tool use, multimodal chat, and long-context tasks. OpenCode integrated it instantly for free early access, offering 1,400 requests every five hours via terminal, IDE, or desktop app on macOS, Windows, and Linux. It posts strong benchmark results including 59.0% on SWE-Bench Pro, 66.0% on Terminal Bench 2.1, 74.2% on MCP Atlas, and competitive scores against models like GPT 5.5 and Gemini 3.1 Pro across agentic and tool-use tasks. Weights and technical report expected in about 10 days; API is immediately available with 50% off standard usage for the first 7 days to encourage early testing.
Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities
- Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
- MiniMax Sparse Attention scales context to 1M
-
Full Table:
MiniMax M3 will be launching soon
You can try it right now in OpenCode
For free
NVIDIA Unveils Nemotron 3 Ultra
The model tops U.S. open-weights rankings with an Intelligence Index score of 48, beating rivals like Gemma 4 31B while delivering over 300 output tokens per second in tests. It shines in agentic AI tasks, boasting 91% agent productivity, strong instruction following, and top coding skills, with 5x faster inference and 30% lower costs than leading competitors. Huang highlighted its openness for developers building everything from search tools to molecular simulations, paired with new agent deployment tools, as Nemotron 4 looms on the horizon.
NVIDIA just announced the release of Nemotron 3 Ultra in Jensen Huang's Computex keynote: at 550B parameters (55B active), this is the largest Nemotron 3 model to date, and it is the most intelligent US open weights model
We partnered with @nvidia to evaluate this model for
What I was able to one-shot with Minimax-M3.
So I gave @MiniMax_AI M3 the following task to test its multimodal capabilities, I found the following video via some website. It's basically a video scroll of a geocities page (some of you maybe old enough to remember geocities
Tuesday 2nd June 2026
SuperGrok and X Premium+ users now can use Composer 2.5 model from Cursor via Grok Build
We are excited for all of you to try out Composer 2.5 in Grok Build starting today!
To use composer-2-5 do `/model` in Grok Build and type in Composer to switch
Composer 2.5 comes with 200k context window and supports: subagents, MCPs, skills and additionally also works with
Qwen3.7-Plus is Alibaba's new multimodal agent model unifying vision and language for hybrid GUI/CLI operations, visual perception, reasoning, grounding, coding, and search-augmented tasks.
Benchmarks show it delivers competitive results across text, multimodal reasoning, visual understanding, agentic coding, and real-world QA, often matching or exceeding models like Claude Opus-4.6, GPT-5.4, and Gemini-3.1-Pro.
Released via API on Alibaba Cloud Model Studio with demos of browser and interactive agents;
Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation.
Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks
Versatile coding agent & productivity assistant with
Some discussion between me and Anya Shapina related to Composer2-5 model availablility via Grok
=====
Anya
IMO Grok is the most under-appreciated model. I know, my comment is out of context (I haven't used Grok Build enough). But just as a model, it roxx! Testing very complicated agents and workflows across models and it kinda wins most scenarios. In my experience, it excels at walking and chewing gum at the same time (while also looking for shadows lurking behind bushes) - this is where most models fail for me. Not to mention native search, X, and Reddit. Anyone else in my Grok camp? Sorry, Elon haters :)
Yusuf
Which model of Grok Anya ? I think grok-build-0.1 is highy underrated and really look forward to the release of v9. Elon has a tendency to hype up particularly given the SpaceX IPO but the pace of updates of Grok Build CLI is relentless
Anya
Grok 4.3 - in my specific tests powering Agents (Not Grok Build which you post was about; look fwd to reporting on this later). Grok 4.3 - Strongest agentic tool calling + lowest hallucination rate in the lineup, from what I know. Worked for me.
=====
Perplexity AI launched Search as Code, enabling AI agents to generate Python code that directly calls atomic search primitives like fanout queries, deduplication, filtering, and ranking within a secure sandbox.
Available in the Perplexity Agent API, and now default in Computer.
Introducing Search as Code, our new search architecture for AI agents.
It writes Python that calls our search stack directly, instead of looping through function calls one at a time.
Available in the Perplexity Agent API, and now default in Computer.
research.perplexity.ai/articles/rethi…
We’re moving away from search as a web fetch tool call to search as codegen to be future proof in a world where code execution inside agent harnesses is the way to do almost all of our knowledge work.
Doing this lets you compose multi-step primitives far more naturally and be
Introducing Search as Code, our new search architecture for AI agents.
It writes Python that calls our search stack directly, instead of looping through function calls one at a time.
Available in the Perplexity Agent API, and now default in Computer.
research.perplexity.ai/articles/rethi…
we're going beyond traditional tool calls / MCPs to interact with the search stack. codegen is the most natural way for an LLM to drive search: the research tasks our users need require complex pipelines, customized per task.
so we're exposing the search stack as composable
Introducing Search as Code, our new search architecture for AI agents.
It writes Python that calls our search stack directly, instead of looping through function calls one at a time.
Available in the Perplexity Agent API, and now default in Computer.
research.perplexity.ai/articles/rethi…
Perplexity just rebuilt how AI searches the internet from scratch, and it's a big deal.
Here's what it means in simple words.
Every AI today searches the web the same way. It sends one query, waits for results, reads them, sends another query, waits again. One at a time.
Introducing Search as Code, our new search architecture for AI agents.
It writes Python that calls our search stack directly, instead of looping through function calls one at a time.
Available in the Perplexity Agent API, and now default in Computer.
research.perplexity.ai/articles/rethi…
Wednesday 3rd June 2026
Uber says it has limited all employees to $1,500 in monthly token spending per AI coding tool “to responsibly encourage agentic AI adoption”
[Uber caps employee AI spending after blowing through budget in 4 months | TechCrunch \ \ Uber's cutback has occurred after the company had reportedly encouraged staff to use AI as much as possible.\ \ https://techcrunch.com\\ \
Microsoft Launches MAI AI Models at Build 2026
The lineup covers reasoning, coding, images, voice, and transcription, all built as a multimodal system optimized for Microsoft's efficient MAIA 200 chips. MAI-Thinking-1, a 35 billion active-parameter model trained on 30 trillion tokens, scores 97% on math benchmark AIME 2025 and tops tough coding tests like SWE-Bench Pro, even beating models from Anthropic and matching Claude in blind evaluation
Microsoft AI CEO Mustafa Suleyman calls it a step toward 'humanist superintelligence' under human control.
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier.
First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks.
- It’s a
Seven new models launching at Build: let’s go!
Reasoning. Code. Image. Transcribe. Voice.
Built from scratch on a clean data lineage, designed for efficiency, working seamlessly as a family of models
Thread
OpenAI unveils new Codex plugins for tasks related to public equity investment, banking and sales, and other roles, and plans to integrate Codex into ChatGPT
We’re making Codex more useful for your work by expanding plugins beyond individual tools.
These plugins turn Codex into a specialist for a specific role with a single install, no coding required.
Codex can access 62 popular apps and 110 skills for work across sales, data
\ \ openai.com Codex for every role, tool, and workflow \ \ Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.](https://t.co/nunrYP2uMI)
[Codex for every role, tool, and workflow \ \ Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.\ \ https://openai.com\\ \
Factory Router automatically selects the best AI model for each task in the Droid coding agent, slashing costs by 20-25% while matching 99% of premium performance on benchmarks like Terminal-Bench 2. It routes routine edits to cheaper models and escalates complex work to heavy-hitters like Claude Opus 4.7, even switching providers mid-task for reliability. Tech leaders like Keith Rabois and Garry Tan praised it as essential for enterprises facing rising AI bills, with CEO Matan Grinberg comparing it to hiring the right expert instead of Einstein for basic math. Currently in private preview for CLI and desktop users.
FWIW, Droid from Factory is one of my goto model-agnostic harness alongside Opencode Go. Very good Claude Code compatability in terms of support for skills, plugins, hooks, sub-agents etc and one of the best if not the best context management I've come across
Introducing model routing to Factory.
Factory Router picks the right model for every task, automatically.
Maintain frontier performance while cutting costs by 25%.
Introducing model routing to Factory.
Factory Router picks the right model for every task, automatically.
Maintain frontier performance while cutting costs by 25%.
via James Chan
Does anyone have experience with multiplayer PRD like ChatPRD? Any good?
Thursday 4th June 2026
Google DeepMind releases Gemma 4 12B, a lightweight 12B-parameter multimodal model under Apache 2.0 license designed to run locally on laptops with just 16GB VRAM or unified memory.
It introduces an encoder-free unified architecture where vision uses a tiny 35M-parameter embedding module and audio projects raw signals directly into the LLM backbone, eliminating separate encoders for efficiency.
Delivers advanced reasoning and multimodal capabilities nearing the larger Gemma 4 26B model's benchmarks, with native 256K context, MTP drafters, and immediate support across Hugging Face, Kaggle, llama.cpp, MLX, and vLLM.
Meet Gemma 4 12B!
A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.
Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B:
[Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge \ \ Google DeepMind's Gemma 4 12B model brings agentic, multimodal AI capabilities to everyday laptops with 16GB of RAM, enabling local data processing and visual insight generation. Users can leverage this model on macOS through the Google AI Edge Gallery for dynamic Python code execution and visualization, as well as via Google AI Edge Eloquent for completely offline voice dictation and text editing.\ \ https://developers.googleblog.com\\ \
Friday 5th June 2026
via my high-school classmate Abhi Ingle who works at Sambanova and lurks on this group via the newsletter. Took me a few readings of the blog post and had to go back and refresh my knowledge on the prefill and decode steps in auto reggressive transformer architectures before the penny dropped on the how this architecture is unique
====
At Computex, SambaNova demoed a “disaggregated inference” architecture where GPUs handle prefill and their RDUs handle decode, yielding faster, cheaper long-horizon agent workloads than GPU-only setups, and they now have this running in production-style environments with partners like VC2 and Together AI.
[3.5 Bn compute commitment to SambaNova ! Taking on the lofty goal of making agentic inference faster and more efficient, Vista Equity Partners, Cambium Capital Management announced Vector Core... | Abhi I. \ \ 3.5 Bn compute commitment to SambaNova ! Taking on the lofty goal of making agentic inference faster and more efficient, Vista Equity Partners, Cambium Capital Management announced Vector Core Compute - "The World's first heterogenous disaggregated Inference Cloud".\ \ https://www.linkedin.com\\ \
[The First Disaggregated Inference Demo for AI Agents Is Live \ \ SambaNova demonstrates how GPUs and RDUs work together to deliver premium inference for agent workloads using the right chip for the right workload.\ \ https://sambanova.ai\\ \
OpenAI updates ChatGPT memory with a “more capable and compute-efficient” architecture and a summary page that lets users review and steer what it remembers
[Dreaming: Better memory for a more helpful ChatGPT \ \ ChatGPT introduces a new memory system to better remember preferences, keeping context fresh and relevant across conversations.\ \ https://openai.com\\ \
Supabase, which provides backend tools for building AI apps, raised a $500M Series F led by GIC at a $10B pre-money valuation, up from $5B in October 2025. Also released Multigres v0.1 alpha to the open source community, Multigres tries to bring Vitess-grade horizontal scaling, high availability, and operational simplicity to Postgres.
We led @Supabase's Seed and Series A. Five years in, they're the open source Postgres platform powering the majority of AI app builders — and 9 million developers strong.
As agents reshape how software gets made, Supabase has become the default backend underneath it. Proud to
[Supabase Series F \ \ Supabase has raised a $500M Series F at a $10B pre-money valuation, led by GIC.\ \ https://supabase.com\\ \
[Multigres v0.1 Alpha: an operating system for Postgres \ \ Today we're releasing Multigres v0.1 alpha to the open source community, bringing Vitess-grade horizontal scaling, high availability, and operational simplicity to Postgres.\ \ https://supabase.com\\ \
Response from Anya Shapina
===
I believe Supabase (and possibly its philosophical rival Convex) will be some of the biggest winners in the AI race. I use it as the shared memory and persistent backend of my multi-agent system - it's everything to my project, and all other projects I've ever built. But then there is the Goliath Convex with its built-in support for AI Agents... and NO SQL (love/hate?). Which camp are you people in?
====
I've not used Lindy but have heard good things about it from others. For those unaware of Lindy, it describs itself productivity and automation platform that positions itself as an "AI executive assistant" or "AI employee." It is particularly strong for professionals who want proactive help with email, meetings, and calendar management.
Saw this post from Flo Crivello, founder of Lindy who migrated 100% of its traffic to DeepSeek v4 from Anthropic models, reporting millions in cost savings alongside performance improvements on core use cases. The switch required building substantial new infrastructure and internal tooling, described as 100x more work than anticipated, emphasizing the value of swappable model architectures.
Pulled the trigger today and switched 100% of Lindy traffic to DeepSeek v4, churning from Anthropic models.
Saves us millions of $ and we're actually seeing an *increase* in performance on many core use cases. Transformative for the business.
Response from Ms Macarena Correa to a post dated 30th May 2026 about the announcement of Kirkland and Ellis committing $500 million over the next 3-4 years to build its own proprietary AI platform and custom tools
=====
On this one, I think its the right way forward. If all Magic Circle / Silver Circle law firms are using the same AI tools to help drafting contracts (Harvey / Legora), and review them too, as well as providing advice, all solutions will become kind of standard, so ultimately the difference between law firms will be reduce only to 1) pricing and 2) charisma of each particular lawyer (e.g., building the relation with the client). this 2nd point cannot be replaced by AI, so probably most of the efforts need to shit into building more and better relations of trust.
=====
Anthropic details its progress toward recursive self-improvement, and its implications, and says Claude has authored 80%+ of the code merged into its codebase
[When AI builds itself \ \ Our progress toward recursive self-improvement, and its implications.\ \ https://www.anthropic.com\\ \
via Imran Muthuvappa
made a free community for people who want to build and ship their first agent
[agentmaxxing \ \ No AI background? I'll help you build, deploy, and sell your first AI agent to a small business in 90 days.\ \ https://www.skool.com\\ \
Saturday 6th June 2026
Came across Scaledown which has developed purpose-built models for compression, summarization, extraction, and classification. Pricing is 0.05/M tokens with self-deployment options also available
Introducing ScaleDown
15x cheaper. 63x faster. 5.1% more accurate than GPT-5.4 Mini.
Task-specific SLMs for the 70-80% of AI workloads that don't need a frontier model.
From NeurIPS '25 to scaledown.ai
[Scaledown.ai - Task-Specific Small Language Models \ \ Purpose-built models for compression, summarization, extraction, and classification. Frontier quality at a fraction of the cost.\ \ https://scaledown.ai\\ \
The cover image of this newsletter via generated via the Krea 2 Large model within the Krea tool via the following prompt
An oil painting in the style of H.R. Giger and Zdzisław Beksiński of an ancient Greek temple on the side of Mount Olympus, surrounded by cacti, a rainbow in the sky, grey clouds overhead, blue lilies around the base, and birds flying above. The painting is highly detailed.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 22-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-22-2026 Dxl4SP2FBcbOx6yfG0CzSun, 31 May 2026 02:14:22 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
Major developments this week included xAI completing training on Grok V9-Medium (1.5T parameters) with a public release expected in 2–3 weeks, alongside plans to open-source its current v8-small model by year-end. OpenRouter raised $113M at a $1.3B valuation as Xiaomi's MiMo slashed API pricing by up to 99% and MiniMax teased its M3 sparse-attention architecture. Anthropic released Opus 4.8, Stanford launched the open-source OpenJarvis agent framework, and Cursor announced its inaugural Compile conference. China's Shanghai Futures Exchange began researching AI token futures as Tomasz Tunguz argued that competitive advantage now lies in the orchestration layer rather than foundation models. The week closed with Kirkland & Ellis committing $500M to build a proprietary in-house AI platform and ElevenLabs launching Dubbing v2, a model that preserves speaker emotion, tone, and pacing across 90+ languages.
Sunday 24th May 2026
Monday 25th May 2026
Elon Musk announced that training of Grok foundation model V9-Medium with 1.5 trillion parameters is complete, with positive evaluation results.
Supplementary training included substantial Cursor data, with fine-tuning now underway and reinforcement learning scheduled to start in a few days.
Public release is expected in 2-3 weeks, marking a major upgrade over the current 0.5T v8-small model, particularly for challenging coding tasks.
He also announces that xAI will open-source its current 0.5T Grok model (v8-small) by the end of 2026, stating it should remain quite useful even after newer models launch.
Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.
Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.
This will
We will open source the 0.5T model towards the end of this year. It should still be quite useful.
Tuesday 26th May 2026
Wednesday 27th May 2026
OpenRouter raised $113M led by CapitalG, a source says at a $1.3B valuation, and now processes 25T tokens across 400+ models weekly, up from 5T six months ago
We're seeing a Cambrian explosion of AI models, and it's happening on OpenRouter.
The future of AI is neurodiversity:
- Agents choosing the most cost-effective model/provider/tool for the task
- Agents orchestrating multiple models for the smartest result
- Advanced security and
Today we’re announcing our $113M Series B led by @CapitalGVC.
Over the last 6 months, weekly volume on OpenRouter grew from 5T to 25T tokens as AI rapidly shifts from experimentation into production.
We’re excited for what comes next.
OpenRouter is now serving 1.5 quadrillion tokens/yr!
That token run rate is:
— 15-30% of Google APIs
— 20-40% of OpenAI
— >50% of Microsoft Azure Foundry
That's 15x larger than when we invested a year ago.
Revenue has already doubled since this $1.3B round was done in Feb!
https://www.nytimes.com/2026/05/26/business/dealbook/openrouter-ai-models-fundraising.html
Xiaomi MiMo announced permanent API price cuts of up to 99% for MiMo-V2.5-Pro and MiMo-V2.5 models, with unified pricing across context lengths and new low rates like $0.0036 per 1M input cache hit tokens for Pro.
Token plans received major upgrades delivering 5–8× more credits at the same price points, with all existing subscriber credits fully reset as a thank-you, while MiMo-V2.5-TTS stays free temporarily.
Better inference efficiency, lower costs, broader access.
MiMo-V2.5 Series API pricing is now permanently reduced — by up to 99% compared to previous pricing.
Unified pricing across all context lengths.
MiMo Token Plans have also been upgraded:
• 5–8× more usable tokens
Behind the MiMo API Price Reduction:
The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Production inference engine tests show this optimization increases cached token
[Xiaomi MiMo Api Open Platform - Token Plan Global Launch \ \ One-time purchase unlocks both MiMo-V2.5 flagship models, plus TTS model free across all tiers for a limited time. Unleash powerful productivity with Xiaomi MiMo\ \ https://platform.xiaomimimo.com\\ \
Skyler Miao, Head of Engineering at MiniMax_AI, posted a teaser for the upcoming M3 model showing their new sparse attention architecture. The diagram details a two-stage GQA-based system: an Index Branch quickly scans and selects top-k relevant token blocks via block max pooling, then a Sparse Branch performs full attention only on those blocks.
This design delivers 9.7x faster prefill and 15.6x faster decoding at 1M token context versus M2, enabling efficient long-context AI without prohibitive compute costs.
Something BIG is coming
new minimax sparse attention compared to deepseek v3.2 (DSA) and v4 (CSA)
main changes:
- based on GQA not MLA
- block level selection like in CSA but attention is done on the real KV, not in the compressed dimension
Something BIG is coming
For non ai people:
most ai models work like this,
every word looks at every other word to understand context
great for accuracy, terrible for speed at massive scale
MiniMax's sparse attention changes that
instead of processing an entire 1m token context deeply, the model
Thursday 28th May 2026
Cursor Announces Invite-Only Compile Conference in San Francisco
The one-day Compile event happens June 16 at Fort Mason, bringing together engineers, researchers, and builders for discussions on AI-native development. Speakers like Cursor's Michael Truell and Ryo Lu, plus guests from Every, Shopify, and indie makers, will work through ideas live on a chalkboard stage. It's waitlist-only now—sign up at cursor.com/compile and invitations go out via email—with a call for papers still open on rethinking systems and simplifying complex ideas.
We're hosting an event on June 16th in San Francisco.
Compile is a one-day event that brings together engineers, researchers, designers, and builders of all kinds to discuss the future of software.
\ \ cursor.com Cursor · Compile \ \ Compile is Cursor's inaugural conference — bringing together developers, researchers, and teams shaping the future of AI-native development.](https://t.co/8YERlPFooL)
Tomasz Tunguz of Theory Ventures with a post where in he articulates that in the AI era, the core differentiator in software is not the model itself but the “harness” layer that tames a general LLM into a reliable, domain-specific agent by combining seven capabilities (context, tools, orchestration, state, sandboxing, observability, and cost optimization).
The article argues that when everyone can access similar foundation models, competitive advantage shifts to whoever builds the best harness around the model. This harness “domesticates” a powerful but wild LLM into a dependable system that can safely execute real workflows in specific industries.
[Software After AI \ \ Software is no longer about UX & data. It is about the harness, the layer that turns an LLM into a reliable agent. Seven components define the new stack.\ \ https://tomtunguz.com\\ \
In response Brent Maxwell writes
In my engineering teams, nobody can tell the difference between gpt-5.5, claude-4.7, gemini-3.5-flash or composer-2.5.
There is no winner right now in the model wars.
The harnesses are totally the right thing to focus on - they are making or breaking development processes for us. When we figure out how to manate the harness better, we ship faster with less time stuck in PR. When one of our devs just uses the default agent config in the IDE, it really doesn't give them the same amount of leverage.
Shanghai Futures Exchange Explores AI Token Contracts
China’s Shanghai Futures Exchange is in early-stage research on futures contracts tied to AI tokens, the smallest unit of information processed and billed for by AI models. These contracts would let companies hedge against volatile AI compute costs along the AI supply chain, similar in spirit to commodity or energy futures.
While U.S. exchanges like CME and ICE are moving toward futures tied to GPU rental/compute capacity, China’s concept would be directly linked to AI token consumption used for pricing AI services. This represents a different abstraction layer: the U.S. focuses on hardware capacity, whereas China targets the usage-based “digital fuel” that powers AI models.
China’s daily AI token usage has exploded roughly 1,000x since early 2024, reaching more than 140 trillion tokens a day by March 2026, underscoring surging demand and cost exposure. Token-based derivatives are being framed as a potential new asset class, with figures like BlackRock’s CEO noting that futures on compute could become a distinct financial market.
[Exclusive: China works on AI token futures market, sources say, in race with US \ \ China is designing a futures market for AI tokens, sources familiar with the matter said, as the country potentially takes a different tack to U.S. exchanges developing compute power futures to tap the rapidly growing appetite to hedge AI costs.\ \ https://www.reuters.com\\ \
Friday 29th May 2026
Some links about Anthropic's Opus 4.8 launch including a tweet thread from Anthropic with some guidance on devs as they migrate to Opus 4.8 and some commentary from Dan Shipper of Every who had access to Opus 4.8 for the past two weeks
Opus 4.8 is live in Claude Code today.
A few things worth knowing:
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
BREAKING:
Anthropic just dropped Opus 4.8—and it is a MONSTER
We've been testing for about a week @every and our verdict is they could've just called it Opus 5, it's that good.
Here's our vibe check:
- Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus
[Vibe Check: Opus 4.8-Anthropic Should've Rounded Up to 5 \ \ Opus 4.8 tops both our Senior Engineer benchmark and our writing tests. It's the most complete model we've tested. We just wish it had an app to match.\ \ https://every.to\\ \
Stanford Unveils OpenJarvis: Efficient AI Agents for Your Devices
Stanford researchers from Hazy Research and Scaling Intelligence Lab released OpenJarvis v1.0, an open-source framework that builds personal AI agents to run locally on devices. It emphasizes 'Intelligence per Watt' with swappable components like local models, engines, agents, tools for apps like Slack and email, and self-improvement features. Users get eight ready-to-run agents for tasks such as morning briefings and code review, installable via a simple one-line script across CLI, web, desktop, or messaging apps. Benchmarks show it handles most queries at interactive speeds with far lower costs and latency than cloud systems, positioning it as a privacy-focused alternative to massive data centers.
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts.
We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts.
Today we're releasing @OpenJarvisAI v1.0: a personal AI
Most agent frameworks are built around one cloud model. Swap in a local model, performance drops.
@OpenJarvisAI fixes the harness, not the model. Result: 77% of the accuracy gap recovered, 800x lower cost per query, 4x lower latency.
Built on Lambda. Open-sourced from Stanford.
Huge congrats to @jonsaadfalcon, @Avanika15, @Azaliamirh and the @HazyResearch team on @OpenJarvisAI — out today.
For two years, they've been making the case that AI inference belongs on hardware people already own, not just in megawatt data centers. Excited to support the
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts.
We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts.
Today we're releasing @OpenJarvisAI v1.0: a personal AI
via shrwn
Free Google x Kaggle vibe coding course
\* Mid June
\* 1-2hrs/day for 5 days
\* Free
[5-Day AI Agents: Intensive Vibe Coding Course With Google \ \ June 15 - 19, 2026\ \ https://www.kaggle.com\\ \
Saturday 30th May 2026
Kirkland & Ellis LLP is one of the world’s most successful and profitable “Big Law” firms with approximately 4,000 attorneys across 23 offices. It consistently ranks at or near the top of revenue and profitability metrics.
Kirkland & Ellis is committing $500 million over the next 3–4 years to build its own proprietary AI platform and custom tools. This is one of the largest and most ambitious technology investments ever announced by a law firm.
Key details include:
Funding & Timeline: Funded entirely from the firm’s own revenue (aligning with Chair Jon Ballis’s philosophy of investing roughly 1% of revenue in new initiatives — which would be ~$100M+ in a $10B+ year). More than $100 million is expected in 2026 alone, with the balance spread over the following years.
Goals: Create a broad, firm-wide AI platform that captures and deploys the firm’s “collective intelligence” to support lawyers across practices “start to finish” on client work. The aim is to move beyond reliance on multiple third-party tools toward more integrated, customized capabilities.
Development Approach: Informed by input from 250 lawyers (including 100 partners) on real workflows and needs. A team of 180 tech professionals is involved, working with undisclosed external partners/companies to help build the technology. Crucially, the resulting tools and IP will not be commercialized or sold to other law firms — a deliberate contrast to some other firm-vendor partnerships (e.g., Freshfields’ work with Anthropic).
Technical Elements: Involves on-premise GPU environments and Microsoft Azure-based AI infrastructure, including facilities for training and inference. The firm is actively hiring for AI-related roles (dozens of positions), including high-compensation roles like AI Infrastructure Directors.
Context Within the Firm: This builds on existing efforts. Kirkland already deploys third-party legal AI tools such as Harvey across its attorneys. It has a history of building proprietary technology in-house, including SideTrack (a tool for investment fund work, particularly around MFN issues) and earlier databases like CTRAN for M&A competitive intelligence. It also maintains internal innovation teams, AI Innovation Advisors embedded in practice groups, and responsible AI governance structures.
This move sits at the center of a key debate in legal technology: buy vs. build for AI. Many top firms rely heavily on specialized platforms like Harvey, CoCounsel (Thomson Reuters), or Lexis+ AI. Kirkland’s approach prioritizes:
Greater control over data, customization, and roadmap.
Using the firm’s own vast proprietary knowledge and deal experience as a competitive differentiator (rather than everyone having access to similar generic or vendor tools).
Enhanced security, confidentiality, and alignment with internal workflows.
Long-term ownership rather than ongoing licensing dependency.
[Kirkland & Ellis has form for building its own technology. The $500m AI play is its biggest yet. - Legal IT Insider \ \ Kirkland & Ellis announced that it would spend $500m over the next three to four years developing its own custom AI tools and services.\ \ https://legaltechnology.com\\ \
ElevenLabs launches Dubbing v2, which it says preserves the original speaker's emotion, tone, and pacing across 90+ languages while staying synced to content
Introducing Dubbing v2.
For the first time, AI dubbing preserves how something was said, not just what was said. Dubbing v2 reads the original audio directly rather than just the transcript, so your emotion, tone, and delivery carries across 100+ languages.
Every system before
[Introducing Dubbing v2: our revolutionary new dubbing model \ \ Introducing Dubbing v2: our revolutionary new dubbing model, which carries the emotion and performance of the original speaker across every language.\ \ https://elevenlabs.io\\ \
Automobile inspired modern curved building , where the curved building's façade meticulously crafted from gears, cogs, and mechanical parts. The building's façade design embodies the fusion of nature and machinery, as evidenced by the intertwining vines and mechanical components
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 21-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-21-2026 WYvsfI9duIEHVdtMWhVPSun, 24 May 2026 00:56:56 GMTThis Week in All Things AI covers key developments in models, agents, tools, infrastructure, and policy curated from discussions in the All Things AI Telegram group.
If you follow AI for work, research, investing, or just to understand where the technology is heading, this weekly brief is a concise way to scan the most important launches, risks, and resources in a few focused minutes.
Across the week, we saw advances in agentic coding and web tooling (Cursor’s Composer 2.5, Google’s Gemini 3.5 Flash, Modern Web Guidance), major moves in AI infrastructure and pricing (Anthropic’s expanded Colossus 2 deal with SpaceX, DeepSeek’s permanent discount on V4‑Pro), a wave of creative tools (Krea 2 and several AI‑assisted video editors), and notable policy and geo developments from Pope Leo XIV’s forthcoming AI encyclical to Singapore’s latest AI initiatives.
Sunday 17th May 2026
Monday 18th May 2026
Tuesday 19th May 2026
Cursor’s biggest model upgrade yet. Strong gains in long-running agentic coding tasks, reliability with complex instructions, and up to 10x better cost efficiency. It’s built on Moonshot’s Kimi K2.5 and reportedly performs on par with top frontier models in some real-world evaluations. Cursor is also training a much larger model from scratch with SpaceXAI on a massive Colossus 2 cluster.
Introducing Composer 2.5, our most powerful model yet.
It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions.
For the next week, we’re doubling the included usage of the model.
[Introducing Composer 2.5 · Cursor \ \ A substantial improvement in intelligence and behavior over Composer 2, particularly on long-horizon agentic tasks.\ \ https://cursor.com\\ \
The Vatican announced that Pope Leo XIV’s first major encyclical on AI will be released on May 25. It will focus on human dignity and “the protection of the human person in the age of AI.” It is being prepared in collaboration with an Anthropic co-founder.
[Pope Leo to issue text on human dignity and AI with Anthropic co-founder \ \ The pope's encyclical will address 'the protection of the human person in the age of AI', the Vatican says\ \ https://www.theguardian.com\\ \
[Pope Leo and co-founder of Anthropic to launch pontiff's AI encyclical on May 25 \ \ Pope Leo XIV and the co-founder of artificial intelligence company Anthropic will launch the pontiff's first encyclical on May 25, a document on the care of human dignity in the era of AI, the Vatican said Monday.\ \ https://www.chicagotribune.com\\ \
Cloudflare tests Mythos against 50+ repositories, highlights its ability to chain bugs into a single exploit, and details a vulnerability discovery harness
[Project Glasswing: what Mythos showed us \ \ In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models' strengths and weaknesses, and what the work around them needs to look like before any of it can scale.\ \ https://blog.cloudflare.com\\ \
Krea 2 (also called K2 or Krea 2 Large) is Krea AI’s first proprietary foundation image model
It was built entirely from scratch with a deliberate focus on aesthetics, style transfer, creative control, and artistic exploration rather than literal prompt transcription or maximum photorealism
It forms part of the broader Krea.ai platform—an all-in-one creative AI suite that aggregates 100+ models for images, video, 3D, editing, upscaling, and fine-tuning under one subscription
They are offering unlimited Krea 2 generations to all their subscribers for the entire week.
this is Krea 2.
our first foundation model, built completely from scratch for aesthetic diversity and stylistic control.
learn more and get early access
Had the pleasure of testing this out over the past week.
Very, very good model. Quality aesthetics, fast generations along with Moodboards and Style transfer.
Excited to explore more with Krea 2 ↓
this is Krea 2.
our first foundation model, built completely from scratch for aesthetic diversity and stylistic control.
learn more and get early access
[Krea 2: AI Image Foundation Model & Style Control \ \ Create expressive AI images with Krea 2, Krea AI's in-house foundation model for aesthetic diversity, style control, moodboards, and creative workflows.\ \ https://www.krea.ai\\ \
Wednesday 20th May 2026
via Robby Yung
Gemini Spark is Google's new cloud-based 24/7 personal AI agent announced at I/O 2026, designed to autonomously handle tasks in the background even when devices are off while requiring user approval for major actions.
Initial rollout targets trusted testers this week and U.S. Google AI Ultra subscribers next week in beta, with enterprise availability planned through Google Workspace and Gemini Enterprise.
Summer roadmap includes MCP integrations, macOS support, email/text interaction, Chrome browser control, and subagent creation to expand proactive capabilities.
Gemini Spark is your new 24/7 personal AI agent.
Give it a task and it works autonomously in the background, even if your phone and laptop are turned off. You choose to turn it on and it's designed to check with you before taking major actions. #GoogleIO
Google Unveils Gemini 3.5 Flash at I/O Conference
Google launched Gemini 3.5 Flash, generally available now and touted as its strongest model for agentic workflows like multi-step tool use and terminal coding. Benchmarks show it topping prior versions on key tests, holding ground against rivals like Claude 3.5 Sonnet, though independent reviews note mixed results on cost and performance.
The event also introduced Gemini Omni for video creation, Spark as a 24/7 personal agent, developer tools like Antigravity 2.0, plus consumer updates to Search and the Gemini app—ushering in what execs call the agentic era.
1/ Today at #GoogleIO, we’re releasing Gemini 3.5, our latest family of models combining frontier intelligence with action.
We’re starting by releasing 3.5 Flash, which is built to help you execute complex, long-horizon agentic workflows.
Gemini 3.5 Flash is our strongest model
[Gemini 3.5: frontier intelligence with action \ \ At Google I/O we released Gemini 3.5, our latest series of models combining frontier intelligence with action.\ \ https://blog.google\\ \
[Gemini 3.5 Flash might be fast enough for gen AI to make sense \ \ Google says its more efficient Gemini 3.5 Flash is the key to your agentic AI future.\ \ https://arstechnica.com\\ \
Google Launches Modern Web Guidance for AI Coding Agents
At Google I/O 2026, the company unveiled Modern Web Guidance, an early preview toolset that equips AI agents like Claude Code and GitHub Copilot with skills for the latest browser APIs, layouts, and performance techniques. It tackles legacy patterns by injecting concise prompts drawn from Chrome's Baseline initiative, boosting agent success on modern tasks from 52% to 86% in early tests. Backed by Chrome and Microsoft Edge teams, plus experts like Lea Verou, it offers easy installation via a simple npx command and covers real-world uses from CSS animations to WebAuthn logins.
Game changer for Web Development announced at GoogleIO- Modern Web Guidance! It’s expert-vetted skills for web development based on best practices of latest specs and APIs.
It ensures your agent/coding harness doesn’t default to older and out of date patterns to build sites.
[Modern Web Guidance | Chrome for Developers \ \ Guidance on how to build for the modern web.\ \ https://developer.chrome.com\\ \
Q&A with Harvey CEO Winston Weinberg on launching the legal AI startup in 2022, how AI could shake up law firms' business models, legal AI competition, and more
https://www.ft.com/content/47eafdcb-5a0a-4515-a07a-70e89ad2fa78?syn-25a6b1a6=1
Thursday 21st May 2026
Anthropic is paying SpaceX $1.25B/mo. until May 2029 under their compute deal; Anthropic says it's expanding the deal to include Colossus 2 capacity
We’re expanding our partnership with @SpaceX, and will be scaling up on GB200 capacity in Colossus 2 throughout June.
Appreciate @elonmusk and the team helping us find good homes for the Claudes.
In the next few days we'll be ramping up Claude inference on Colossus.
Grateful to be partnering with SpaceX here. We are going to need to move a lot of atoms in order to keep up with AI demand, and there's nobody better at quickly moving atoms (on or off planet Earth)
As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale.
We are in discussions with other companies to do the same.
Over time, especially with orbital data centers, we expect to serve AI at extremely
FYI, in case some in this group find the below useful for their personal and professional workflows. Personally I consider video-editing as something akin to 'magic of the dark arts' so huge respect to practioners of this craft.
The below are a links to websites of AI assisted video editing tools I've come across (in no particular order), pretty sure these are but a small fraction of tools out there.
Within this list I'm not mentioning the usual suspects such as Premiere, Final Cut Pro, Davinci Resolv, Capcut
[Create videos for Socials - keyframes.studio \ \ Create videos for Socials in 5 minutes. Don't waste time looking up aspect ratios or learning heavy video editors - Keyframes Studio takes care of everything.\ \ https://keyframes.studio\\ \
[Revid AI - Ideate, Publish, Go Viral | #1 AI Video Generator \ \ Create viral short videos for TikTok, Instagram, and YouTube. Turn ideas into content instantly. Ideate, create, edit, publish - all in one. No skills needed.\ \ https://www.revid.ai\\ \
[Topaz Labs | Professional-grade photo and video editing powered by AI. \ \ Photo and video enhancement software powered by deep learning gets you the best image quality available for noise reduction, sharpening, upscaling, and more.\ \ https://www.topazlabs.com\\ \
[Capsule \ \ Meet Capsule-the AI-powered video editor made for content and marketing teams. Create stunning videos 10x faster, collaborate seamlessly, and stay on brand.\ \ https://capsule.video\\ \
[Descript - AI Video & Podcast Editor | Free, Online \ \ Descript makes editing video and audio as easy as editing text. Record, transcribe, edit, and publish in one tool. Try for free, with powerful upgrades for creators & teams.\ \ https://www.descript.com\\ \
[Overlap - AI Video Clipping for Media, Podcasts and Creators \ \ Use Overlap to create AI clipping workflows to turn long videos into clips, shorts, and social posts automatically. Scale short form content creation with Agentic workflows.\ \ https://overlap.ai\\ \
[Cardboard | Agentic Video Editor \ \ A fast, collaborative, and agentic video editor that runs in your browser. Create, cut, and compose videos with AI - no installs, no downloads.\ \ https://www.usecardboard.com\\ \
[Eddie AI | The Assistant Video Editor for Pros \ \ Eddie is the AI assistant video editor trusted by 40,000+ video professionals. Import interviews and chat with Eddie to get rough cuts and edits in seconds. Then export to MP4, Adobe, FCP, and DaVinci Resolve.\ \ https://www.heyeddie.ai\\ \
[Ponder \ \ Transform your video editing workflow with Ponder.AI's revolutionary AI-powered platform. Sign up free or download now to experience the future of video creation.\ \ https://ponder.ai\\ \
[OpusClip: #1 AI video clipping tool to create viral shorts \ \ OpusClip turns long videos into high-quality viral clips, and publishes them to all social platforms in one click. We help 10M+ creators create and grow faster.\ \ https://www.opus.pro\\ \
If any of these do end up being used by you/your team, do share your experiences with this group so that others can also benefit from your learnings
via Alex
SpaceX S1 fillings is a good read for SciFi fans like me. Emphasizing Fiction here 😂
Claiming capabilities to launch 100GW of compute to LEO when hyperscalers are barely able to do 1GW on earth. Claiming 220B daily token usage when the actual xAI usage numbers seem to be more like 15B tokens daily. Claiming the TAM for xAI is over 20T$.
https://www.sec.gov/Archives/edgar/data/1181412/000162828026036936/spaceexplorationtechnologi.htm
via Alba Chung of Alibaba Cloud
Qwen3.7-Max — now available viaAlibaba Cloud Model Studio:
- frontier coding agent: from frontend prototyping to complex software engineering
- office productivity and workflow automation via MCP and multi-agent orchestration
- sustained autonomous execution across long-horizon tasks
-cross-scaffold generalization across diverse agent frameworks
My LinkedIn: https://www.linkedin.com/in/albachung
Feel free to PM me for more details.🙌🏼
Friday 22nd May 2026
Singapore firing on all cylinders
• OpenAI first AI lab outside of the US is Singapore
• Anthropic’s lead investor for their Series G is GIC (Singapore’s sovereign wealth fund)
• NVIDIA chose Singapore for their research hub
• Google Deepmind is strengthening its partnership with Singapore
[Introducing OpenAI for Singapore \ \ OpenAI for Singapore launches a multi-year AI partnership to expand deployment, build local talent, and support businesses and public services with AI.\ \ https://openai.com\\ \
[Google DeepMind & Singapore: National AI partnership \ \ Google DeepMind and Singapore partner to apply frontier AI to address challenges across health, education, sustainability and more through the National Partnerships for AI initiative.\ \ https://deepmind.google\\ \
Saturday 23rd May 2026
Zero to Claude Code Course Draws 18,000 Beginners Worldwide
The Zero to Claude Code course guides users from terminal basics to advanced AI techniques like prompt engineering and subagents, with hands-on projects including a real-time game capstone. Launched recently at zero2claude.dev it has enrolled over 18,000 students globally, running on a high-performance site that Itay Shmool, VP @ WIX created solo with Claude Code
I built "zero2claude", a free course that takes people from zero terminal experience to shipping with Claude Code.
The curriculum goes from absolute zero → software basics → Claude Code fundamentals → advanced usage. No shortcuts, no assumptions.
17,000+ students. 7
Big fan of teaching more people the basics of using Claude Code in an accessible way.
So much of the world has not yet used agents. There's a lot of opportunity to level the playing field and expand access.
I built "zero2claude", a free course that takes people from zero terminal experience to shipping with Claude Code.
The curriculum goes from absolute zero → software basics → Claude Code fundamentals → advanced usage. No shortcuts, no assumptions.
17,000+ students. 7
In the world of increasing prices for models, Deepseek says that they have made their 75% discount originally ending May 31st 2026 for V4-Pro permanent if one uses DeepSeek's inference endpoint.
Recommend group members do their own research to interpret the terms of service/privacy policy under which Deepseek's own inference endpoint is served Deepseek v4-Pro is an open-source/open weight model so there are many inference providers which serve this model and each inference provider serves it under their own ToS/privacy policy
We are making our discount permanent!
Enjoy building with DeepSeek-V4-Pro and bring your innovative ideas to life!
The DeepSeek-V4-Pro discount has been extended until May 31, 2026, 15:59 UTC!
via Robby Yung
an AI demo where Gemini Omni transforms a Google Maps screenshot with a drawn route into a realistic first-person taxi driving video through city streets, complete with accurate buildings, traffic, and dashboard details.
Can't believe we're getting this before GTA 6
I uploaded a screenshot of Google Maps to Gemini Omni with a route drawn on it.
Then I prompted it to create a first person view of someone driving a taxi cab along the route in the reference image.
Pretty close to the real thing.
The cover image of this newsletter via generated via the OpenAI's ChatGPT Images 2.0 model within the Freepik tool via the following prompt
A fascinating view through a natural rock formation by the sea, which serves as a frame for the scene. The dark, jagged rocks are visible in the foreground, lapped by gentle, turquoise waters. A luxurious yacht can be seen through the opening in the rock face, lying calmly on the clear blue water. Behind it stretches a hilly landscape that glows in soft colors under bright daylight. The contrasting composition between the rough, dark rocks and the elegant, modern yacht creates a harmonious balance of natural beauty and luxurious lifestyle. (Nature and luxury, rich in contrast, maritime scene, turquoise water)
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 20-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-20-2026 SwtoY6XrFhDU5J1LZQ0FSun, 17 May 2026 02:19:13 GMTThis Week in All Things AI – Week 20/2026 distills the firehose of updates shared in the “All Things AI” Telegram group from Sunday 10th May to Saturday 16th May 2026 into a structured brief you can scan in a few minutes.
The through‑lines this week are: rapid expansion of frontier model access (OpenGradient, xAI), Anthropic’s continued push into agents, programmatic usage, and verticals like legal and SMB, and a noticeable uptick in agentic content/marketing stacks exemplified by Higgsfield’s Supercomputer.
We open with infra and platform news: OpenGradient’s 13 new frontier models (including Claude Opus 4.7, GPT‑5.4/5.5, o3, Gemini 3.1, Grok 4.20), Anthropic’s Agent View for Claude Code, a new pool of dedicated programmatic credits across paid plans, and Claude for Legal and Small Business with 20+ MCP connectors and practice‑specific plugins. From there, we cover xAI’s Grok Skills and the Grok Build CLI beta for SuperGrok Heavy subscribers, Notion’s developer platform turning workspaces into agent hubs, and Higgsfield’s self‑learning “Supercomputer” that orchestrates multi‑model creative pipelines across social channels. We close with risk/governance and AEO: AI‑transcribed meetings and privilege, Google’s AI Threat Tracker, Elon’s hints about Grok V9, and Google Search’s new guide for optimizing content for generative AI and AI agents.
If you know founders, operators, or builders trying to stay ahead of the curve on models, agents, and real‑world deployments, share this weekly brief so they can scan the most important launches, risks, and resources in a few focused minutes.
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 10th May 2026 to Saturday 16th May 2026
Sunday 10th May 2026
via Robby Yung
Inference on OpenGradient just expanded significantly.
13 new frontier models are now available across the network, including Claude Opus 4.7, GPT-5.4 & 5.5, o3, Gemini 3.1, and the full Grok 4.20 family.
Every inference runs inside TEE-attested environments with cryptographic
Monday 11th May 2026
Corporate lawyers say AI-transcribed meeting notes may not have attorney-client privilege, making otherwise protected conversations discoverable in lawsuits
Google's TIG reports the first confirmed instance of “prominent cybercrime threat actors” using AI to find and weaponize a zero-day in a web-based admin tool
Google Threat Intelligence Group is dropping our latest AI Threat Tracker report today, which covers several threats we are watching through a variety of means. The report includes some details of the first 0day exploit we've found developed with AI. 1/x
\ \ cloud.google.com Adversaries Leverage AI for Vulnerability Exploitation, Augmented Operations, and Initial Access |... \ \ Explore GTIG's 2026 report on how adversaries leverage AI for zero-day exploits, autonomous malware, and industrial-scale cyber operations.](https://t.co/klvOrX31xv)
[Adversaries Leverage AI for Vulnerability Exploitation, Augmented Operations, and Initial Access | Google Cloud Blog \ \ Explore GTIG's 2026 report on how adversaries leverage AI for zero-day exploits, autonomous malware, and industrial-scale cyber operations.\ \ https://cloud.google.com\\ \
Colossus Magazine Publishes Profile Interview of Cognition AI Co-Founder Scott Wu by Jeremy Stern
Jeremy Stern, editor-in-chief of Colossus, interviewed Scott Wu, co-founder of Cognition AI, covering his competitive programming achievements, founding of the company after his mother's death from lung cancer, and Cognition's AI software engineer Devin achieving a $445 million revenue run rate with customers including the US Army, Goldman Sachs, and Mercedes-Benz. The profile highlights Wu's background as the greatest US competitive programmer with perfect scores in advanced math competitions as a child, and the company's rapid growth toward a $25 billion valuation.
Scott Wu is the co-founder of Cognition AI, one of the fastest-growing companies in history. He’s also the greatest competitive programmer the US has ever produced. You may have seen him doing impossible card tricks and mental math.
You’ve never seen him asked about weed,
[The Wu Tapes: Q&A with Cognition's Scott Wu \ \ Cognition founder Scott Wu on building the AI coding agent Devin, his math-Olympiad gold medals, and what remains for humans in an age of AGI.\ \ https://colossus.com\\ \
Tuesday 12th May 2026
Anthropic Launches Agent View for Managing AI Coding Sessions
Anthropic released Agent View in Claude Code version 2.1.139, a dashboard that shows status for all coding sessions—like pinned tasks, ones needing input, or completed checks. Run claude agents to start, dispatch new sessions with a prompt, and switch easily without extra tabs; sessions persist even if you close the terminal. Engineers like Awni Hannun call it 'exceedingly useful—10/10' for daily work, though parallel agents can quickly hit rate limits on Pro or Max plans.
New in Claude Code: agent view.
One list of all your sessions, available today as a research preview.
The constraint Anthropic just removed was the terminal tab.
One Claude session per tab capped your parallelism at whatever context-switching cost you could absorb. For most devs that was one. Maybe two. The model could run forever in parallel. The human couldn't.
Agent view
New in Claude Code: agent view.
One list of all your sessions, available today as a research preview.
This might be more likely useful to others in group members extended family who want to use Anthropic Claude in a better manner. Allmost all members in this group are unlikely to be the target audience for this content but you are welcome to skim it and if you find something useful that you weren't already aware of then consider it as a bonus
A collection of free guides to master Claude from curator Ruben Hassid whose newsletter I subscribe to.
I'm not a SuperGrok Heavy subscriber , just a regular SuperGrok one and I'm now able to access Grok Skills
Grok Web just got a massive upgrade with Skills
This is a huge productivity update for the AI chatbot
You can now tell Grok things like:
- “Make me a pitch deck”
- “Edit this PDF”
- “Analyze this spreadsheet”
…and it executes the workflow directly inside the chat
Built-in
Wednesday 13th May 2026
Anthropic just made another serious push into legal.
According to Anthropic, "Legal is now the #1 power-user job function in Claude Cowork."
The release adds 20+ connectors and 12 practice-specific plugins designed to plug Claude into the systems legal teams already use, from Microsoft apps to document management, e-discovery, and research tools.
[Claude for the legal industry | Claude \ \ We're releasing 20+ new MCP connectors that link Claude to the software that the legal industry runs on and 12 new plugins tailored specific legal work and practice areas.\ \ https://claude.com\\ \
[Anthropic Unveils 'Claude for Legal' With 12 New Plugins, 20+ MCP Connectors & More \ \ Claude for Legal is more than just a product launch. It's an expansion of Anthropic's current legal offerings, built in conjunction with major legal tech providers and operating within the existing Claude interface.\ \ https://www.legaltechnologyhub.com\\ \
[Anthropic Goes All-In on Legal, Releasing More Than 20 Connectors and 12 Practice-Area Plugins for Claude \ \ Anthropic today took its biggest step yet into the legal market, releasing more than 20 new MCP connectors linking Claude to the software that law firms and legal departments run on, along with 12 new...\ \ https://www.lawnext.com\\ \
Thursday 14th May 2026
Anthropic Adds Dedicated Credits for Claude's Programmatic Tools
Paid subscribers on Pro, Max, Team, and Enterprise plans will receive credits just for programmatic AI tools like the Claude Agent SDK and third-party apps, keeping chat and coding limits untouched. Credit amounts match plan prices, from $20 for Pro to $200 for Max 20x, claimed once via email and auto-renewing monthly.
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.
The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK
To add some clarity: you don't pay extra. It's the same subscription, same price per month.
What's new our sub now covers two separate pools:
· Interactive → sub limits, unchanged
· Programmatic → new $20–$200 included(!!) credit, metered at API rates
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.
The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK
Anthropic launches Claude for Small Business, featuring a host of automated services like bookkeeping functions, business insights, and tools for ad campaigns
[Introducing Claude for Small Business \ \ We're launching Claude for Small Business, a package of connectors and ready-to-run workflows that put Claude inside the tools small businesses use every day.\ \ https://www.anthropic.com\\ \
via Clayton Lam
Hey, Clayton here from Notion. I just joined the landing GTM team for SG / HK. Nice to meet you all
Some exciting news from us today, we just launched our Developer Platform that allows clients to:
sync any data into Notion workspaces (think Salesforce, Zendesk, Shopify)
Build any agent tool
Orchestrate any agent in Notion (invite Claude, Manus, Cursor etc. to work in Notion)...
[Notion just turned its workspace into a hub for AI agents | TechCrunch \ \ Notion's new developer platform lets teams connect AI agents, external data sources, and custom code directly into their workspace as the company pushes deeper into agentic productivity software.\ \ https://techcrunch.com\\ \
Friday 15th May 2026
via xAI
An early beta of Grok Build, an agentic CLI for coding, building apps, and automating workflows is now available for SuperGrok Heavy subscribers. SuperGrok Heavy is normally USD 300/month but currently being offered at USD 99/month for 6 months
[Grok Build Beta \ \ Grok Build Beta adds a native subagent view, Plan Mode integration, mouse support, and a fullscreen terminal UI. Install with curl -fsSL https://x.ai/cli/install.sh | bash.\ \ https://x.ai\\ \
Saturday 16th May 2026
If you are in marketing/content creation, I think worth your while to dive a bit deeper into what Higgsfield just launched. I've just curated a few posts but I think in the coming days/weeks more will be coming out about this
=====
Introducing Higgsfield Supercomputer
The first ever cloud-native, self-learning AI agent for end-to-end task execution.
40+ built-in tools. Three layers of memory. Access via browser or Telegram.
Powered by enhanced Hermes Agent.
Introducing Higgsfield Supercomputer
The first ever cloud-native, self-learning AI agent for end-to-end task execution.
40+ built-in tools. Three layers of memory. Access via browser or Telegram.
Powered by enhanced Hermes Agent.
$39/month. That’s the current price of a content operation that routes GPT-5.5 Pro, Claude Opus, Seedance 2.0, Veo, and Kling through one agent and ships finished video, images, and copy 24/7.
Higgsfield Supercomputer just launched this. One prompt goes in. The agent decomposes
Introducing Higgsfield Supercomputer
The first ever cloud-native, self-learning AI agent for end-to-end task execution.
40+ built-in tools. Three layers of memory. Access via browser or Telegram.
Powered by enhanced Hermes Agent.
Higgsfield Supercomputer.
24/7 pocket marketing agency that gets smarter with every task.
> GPT 5.5, Opus 4.7, Kimi K2.6, Gemini. Freedom of choice across ecosystems.
> Plugs into Instagram, TikTok, YouTube, Slack
> Access on mobile via Telegram
> Picks up context from your team
Introducing Higgsfield Supercomputer
The first ever cloud-native, self-learning AI agent for end-to-end task execution.
40+ built-in tools. Three layers of memory. Access via browser or Telegram.
Powered by enhanced Hermes Agent.
Supercomputer turns ideas into short dramas at scale.
> Does the preliminary research
> Writes a script grounded in proven craft
> Storyboards with character locks
> Generates scenes autonomously. Self-evaluates quality
Your vision matters most. Supercomputer does the rest.
[Higgsfield Supercomputer - Agentic AI Content Creation \ \ An agentic AI that runs your whole creative pipeline. Describe a reel, an ad, or a week of content - Higgsfield Supercomputer plans, generates, and delivers it all in one chat.\ \ https://higgsfield.ai\\ \
Elon Musk teasing at sizable capability upgrades in upcoming models from xAI
Grok 4.2 is based on foundation model V8, trained on Hoppers, with 0.5T params. Internally, xAI has completed a Grok V9 1.5T run, optimized for Nvidia Blackwell, and Elon says it is already looking great before Cursor data is added.
He says the difference between foundation model V8 and V9 is gigantic!
Our recently completed Grok V9 1.5T run is looking great and that is before Cursor data is added in supplemental training
The version numbers are a little confusing and deserve some explanation.
Internally, we are working on version 9 of our new foundation model, which is 1.5T params. This is substantially better in every way than v8: data curation, training recipe, size, etc. It is also optimized
Google just published a new resource for optimizing for generative AI in Google Search
====
In the new guide, optimizing your website for generative AI features on Google Search, you'll find:
Guidance on the importance of providing valuable, unique, non-commodity content
Tips about providing local, shopping, image, and video content
Mythbusting common "AEO/GEO" misconceptions
Initial guidance related to AI agents, a quickly emerging and evolving space
Information about why SEO best practices remain relevant and foundational to success with our generative AI features
[Google's Guide to Optimizing for Generative AI Features on Google Search | Google Search Central | Documentation | Google for Developers \ \ Learn how to optimize your website for Google Search's generative AI features, including official best practices, technical SEO advice, and emerging AI agent guidance.\ \ https://developers.google.com\\ \
A raw photograph capturing a sustainable treehouse community nestled in a dense rainforest. The view is centered and taken from afar, showcasing the impressive and enormous treehouses on a sunny day, with delicate rays of light filtering through the hot, humid air.
The perspective is from the viewer's point of view, standing on one of the treehouses, leaning on a wooden railing.
The surrounding jungle is lush and vibrant, with the treehouses blending seamlessly into the environment.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 19-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-19-2026 MjzfvIB78isjPBmzv7agSat, 09 May 2026 23:16:15 GMTThis newsletter exists to give busy, technically curious people a curated weekly snapshot of how AI tools, services, and use cases are evolving in practice, drawn directly from the All Things AI Telegram group.
This Week in All Things AI (Week 19, 2026) is my attempt to distill a very full seven days in the Telegram group into something you can skim in a few minutes and then dive into at your own pace. From real‑time voice agents and Harvard’s study of OpenAI’s o1 beating human doctors on complex triage reasoning, to finance workflows, frontier‑scale models, and the evolving AI infrastructure stack, this week really shows how fast ideas are turning into production‑grade tools and services
As you read through the day‑by‑day notes below, you’ll see threads that keep resurfacing: security and agent design in the wake of a Grok prompt‑injection exploit, attempts to tame AI costs like Alibaba Cloud’s MaaS token plan, and new model bets such as SubQ’s 12M‑token SSA architecture. You’ll also find Anthropic and Perplexity deepening their focus on finance and health, Anthropic’s unexpected compute partnership with SpaceX and higher Claude limits, plus community debates on Chinese models vs Claude, programs for Indian student builders, and some very nerdy but important meta‑topics like HTML‑first formats and how to think about agent skills
Readers who think others in their family, friends and acquaintances who are curious in knowing more about rapidly evolving AI tools/services/use cases and would benefit from being subscribers of this weekly newsletter are encouraged to share this publication link to them and invite them to subscribe
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 3rd May 2026 to Saturday 9th May 2026
Sunday 3rd May 2026
via Mahimai Raja
A curated, developer friendly learning path for building real-time voice AI agents from your first STT call to scaling production telephony.
I built this because Voice AI is moving fast and I couldn't find a single place that walks a developer from "what is a voice agent" through to production telephony, evals, and the FCC/EU AI Act stuff you actually need to know before shipping.
Every citations are verified and active, tagged Beginner/Intermediate/ Advanced, and grouped so you can read it top-to-bottom:
[GitHub - mahimairaja/voiceai: Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖 \ \ Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖 - mahimairaja/voiceai\ \ https://github.com\\ \
Harvard study: OpenAI's o1 correctly diagnosed 67% of emergency room patients using electronic records and a few sentences from nurses, vs. to 50-55% for triage doctors
A groundbreaking Harvard study has found that AI systems outperformed human doctors in high-pressure emergency medicine triage, diagnosing more accurately in the potentially life and death moments when people are first rushed to hospital
[New AI Model Beats Doctors at Clinical Reasoning, Diagnosis \ \ Rapid improvements in artificial intelligence emphasize need for randomized trials\ \ https://www.medpagetoday.com\\ \
[AI outperforms doctors in Harvard trial of emergency triage diagnoses \ \ Researchers say results mark a really 'profound change in technology that will reshape medicine'\ \ https://www.theguardian.com\\ \
Nice X thread by the author of the study
1/ Our new study on AI and physician reasoning just came out in @ScienceMagazine. As co-senior author, I'm excited about our findings, and I do think AI will reshape medicine. But after seeing some of the discussions, I'm also worried about how our findings may be
Monday 4th May 2026
Most of you know that I'm a big fan of Wispr Flow and mention it whenever I tell people about voice dictation
Tanay Kothari, CEO of Wispr Flow on CNBC's Young Turk's with Shereen Bhan. It's around an hour long
Tuesday 5th May 2026
via Alex
Grok morse code prompt injection led to transfer of 200k$ in DRB token
That is why we need proper frameworks for agents identity, secrets & session management with cryptographic intent verifications
saw the thread. here's what i can piece together from the tweet + replies:
- someone (ilhamrfliansyh) pulled an exploit on a $DRB token interaction through bankrbot today
- the play involved some kind of prompt injection / array manipulation — one reply mentions an array named
via Alba Chung of Alibaba Cloud
Alibaba Cloud MaaS Token plan released! It uses Credits as a unified billing unit, supports text and image generation models, and is compatible with popular AI programming tools and agents. It offers stable performance and enterprise-grade data security.
Perfect for enterprises start want to adopt to AI tools with controlled budget and price performance
https://www.alibabacloud.com/help/en/model-studio/token-plan-overview
My LinkedIn:www.linkedin.com/in/albachung
Feel free to PM me for more details.🙌🏼
Insert your favourite variant of the 'Shut up and Take My Money' meme 🙇️️️️️️
======
via Alexander Whedon
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
-
SubQ is available for early access today, alongside our coding agent, SubQ Code
Wednesday 6th May 2026
Anthropic Launches Claude AI Agents for Finance Workflows
Anthropic unveiled 10 Claude AI agent templates designed for banks, insurers, and financial firms, tackling tasks like drafting pitchbooks, reviewing earnings transcripts, reconciling ledgers, and screening KYC files. Powered by Claude Opus 4.7 and connected to data sources such as FactSet, S&P Capital IQ, and Moody's, the agents integrate with Microsoft 365 apps and output source-attributed results for compliance
New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more.
Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.
Anthropic just automated the first-year analyst job at every bank on Wall Street.
They released these 10 AI agents for finance:
→ Pitch builder
→ Meeting preparer
→ Earnings reviewer
→ Model builder
→ Market researcher
→ Valuation reviewer
→ GL reconciler
→ Month-end
New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more.
Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.
New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more.
Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.
Perplexity launching Perplexity Computer for Professional Finance.
Finance teams can bring licensed data from providers like Morningstar, PitchBook, Daloopa, and Carbon Arc into Computer.
We’ve also added 35 dedicated finance workflows for the work analysts repeat every week
Every output is traceable.
Computer shows where the data came from and links directly to the source behind key numbers.
Click any citation or hyperlinked number to open the underlying SEC filing, earnings transcript, market data page, or licensed source.
Every output is traceable.
Computer shows where the data came from and links directly to the source behind key numbers.
Click any citation or hyperlinked number to open the underlying SEC filing, earnings transcript, market data page, or licensed source.
Perplexity and Computer now connect to premium health sources, starting with NEJM and BMJ Group, with 9 more medical journals and clinical databases on the way.
Ask health questions and get answers cited from the same sources relied on by hospitals and research institutions.
[Announcing Premium Health Sources \ \ Today we are launching Premium Health Sources. This continues our investment in premium sources and will allow Perplexity to draw from the same clinical references used by physicians and researchers.\ \ https://www.perplexity.ai\\ \
Ask health questions and get answers cited from the same sources relied on by hospitals and research institutions.
Number of discussions post David James question to group members asking for their opinion "which is the best Chinese AI that is equal to Claude 4.7 For content writing?"
Answers ranged from Kimi 2.6 , Trinity, Hemingway and Grammarly. Discussion also veered towards Claude being the best but group members saying that the $20/month plan hardly gave any usage leading to someone commenting that for some $20/month may mean a lot whereas for some $200/month may mean nothing and as such open weight models combined with harness such as OpenCode Go were extremly important for wider access to AI models and tooling
Thursday 7th May 2026
This was not on my bingo card 🤯
Anthropic agrees to partnership with SpaceX to use all compute capacity at Colossus 1 data center
The partnership enables Anthropic to double Claude Code rate limits for Pro, Max, and Team plans, remove peak hours limit reductions for Pro and Max, and substantially increase API rate limits for Opus models
[Higher usage limits for Claude and a compute deal with SpaceX \ \ We've raised Claude's usage limits and agreed a new compute partnership with SpaceX that will substantially increase our capacity in the near term.\ \ https://www.anthropic.com\\ \
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
via Shawn Wang aka swyx
Full Workshop: OpenAI Codex masterclass
Katya Gil Guzman and Vaibhav Srivastav of OpenAI's London's office demonstrate how the Codex software engineering agent leverages plugins, automations, and sub-agents to streamline developer workflows. They explore practical integrations with tools like Slack, GitHub, and Google Drive, highlighting how these capabilities allow developers to delegate complex, multi-step tasks to autonomous agents for improved efficiency.
Full Workshop: @OpenAI Codex masterclass
The agent is no longer just one chat window. In this workshop, @reach_vb and @kagigz get into how coding systems start to change when you can delegate work across subagents, split tasks up, and manage more context than a single thread can
via Aakrit Vaish
===
Today, I am excited to announce Activate Fellows.
A summer program for 15 of India's best student builders to work inside the country's leading AI startups.
Host startups include Sarvam, Emergent, Composio, Gnani AI, Dashverse, Neysa & more.
If you are an undergraduate or graduate student in any part of the world and want to be a part of the India AI story, this is your chance.
Program starts June 1. Apply by May 15
[Activate · AI Fellows - Summer 2026 \ \ Spend 8 weeks building inside India's leading AI startups. 15 fellows, 15 startups, 1st June to 24th July 2026 in Bangalore. Applications close 15th May 2026.\ \ https://www.activatevc.ai\\ \
Today, I am excited to announce Activate Fellows.
A summer program for 15 of India's best student builders to work inside the country's leading AI startups.
Host startups include Sarvam, Emergent, Composio, Gnani AI, Dashverse, Neysa & more.
via Robby Yung
From Intelligent Internet (Emad Mostaque's new company)
Introducing Factory
Describe your idea in one sentence and Factory builds the first draft of the production for you.
It plans the scenes, chooses the models, generates the assets, and wires everything together on an editable infinite canvas.
Friday 8th May 2026
Saturday 9th May 2026
via Benjamin
Great post from Thariq at Claude about HTML > Markdown files
Makes so much sense for both agent and humans
Perplexity published their internal manual for building agent skills and they state that skills require a new way of thinking for developers
[Designing, Refining, and Maintaining Agent Skills at Perplexity \ \ Perplexity Research advances our mission to transform how we navigate the internet and the wider world through frontier research in search, reasoning, agents, and systems.\ \ https://research.perplexity.ai\\ \
Antirez Releases ds4.c, a Native Inference Engine for Running DeepSeek V4 Flash on 128GB MacBook Pro
Antirez, the Redis founder, launched ds4.c, enabling local inference of the 284B MoE DeepSeek V4 Flash model on high-end Macs. The project uses selective quantization, Metal execution, and a 1M token context window with disk-backed KV cache. It supports coding agents and advances architecture-aware local inference for frontier-scale open models.
Downloading now... 1M token context window with supposedly usable coding agent capability all on a 128GB Macbook Pro is
OPEN SOURCE AI IS LITERALLY UNSTOPPABLE
The legendary founder of Redis (Antirez) just dropped ds4 - a custom native inference engine built specifically for DeepSeek v4 Flash
This is earth shattering! Here is why:
DeepSeek v4 Flash is a quasi-frontier model with a massive
A realistic and detailed depiction of an urban city street 300 years in the future, where the environment is AI-driven. The architecture has advanced, with sleek and high-tech skyscrapers. The street is bustling with a diverse range of people, some of whom are interacting with advanced technology like personal AI assistants and holographic displays. Autonomous vehicles and drones are a common sight, seamlessly integrated into the traffic system. There are also robotic pets accompanying their owners. The shops and cafes have digital interfaces for ordering. The scene is a harmonious blend of technology and daily life, showcasing a future where AI enhances every aspect of living. The color palette includes modern metallics, neon accents, and soft glows from the various futuristic devices and vehicles.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 18-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-18-2026 yhBbt3eodGyX336t2fGRSun, 03 May 2026 02:34:19 GMTThis week’s AI landscape was defined by aggressive model commoditization, agentic workflows maturing, and incumbents pulling key verticals in‑house. DeepSeek and Xiaomi drove frontier‑grade capabilities toward “practically free,” with DeepSeek slashing cached token prices and Xiaomi open‑sourcing trillion‑parameter MiMo models under MIT with huge token grants, while Poolside and xAI pushed specialized coding and agentic models like Laguna and Grok 4.3 into the spotlight.
Major platforms shifted their economics and UX around agents: GitHub Copilot moved to usage‑based billing, Anthropic released deep integrations for creative tools, and OpenAI’s Codex evolved into a “Codex for everything” control layer over the desktop and browser
Microsoft’s new Legal Agent effectively turning legal AI into a Word feature. Strategic and philosophical debates continued in the background: China blocked Meta’s $2B Manus acquisition, Ed Zitron and Shaun Warman questioned AI’s unit economics and “apprenticeship” phase,
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 26th Apr 2026 to Saturday 2nd May 2026
Sunday 26th April 2026
via Valerii Anufriev a link to the Deepseek V4 Pro paper https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
Monday 27th April 2026
DeepSeek Slashes AI API Prices to One-Tenth for Cached Inputs
DeepSeek announced Saturday a lasting cut in cached input token costs to one-tenth of original prices, starting at $0.0028 per million on V4-Flash and $0.003625 on V4-Pro, stacking with a 75% discount on V4-Pro until May 5, 2026.
My understanding is that these price drops are only available via DeepSeek's inference endpoint in China. OpenRouter mentions the following about this specific provider input
To our knowledge, this provider may use your prompts and completions to train new models
DeepSeek Input Cache Price Drop!
Effective immediately, the price for input cache hits across the ENTIRE DeepSeek API series is reduced to just 1/10th of the original price! Build more efficiently for less.
Reminder: The DeepSeek-V4-Pro 75% OFF promotion is still active
via David James
I encountered an interesting situation last week, the conundrum facing a client: In today's environment of deep learning and AI is signing an NDA necessary? Information acquired by tech is more invasive and sneaky than a human leak. And when this event happens a company is likely to make the employee or partner the scape goat.
China Blocks Meta's $2 Billion AI Startup Acquisition
China's National Development and Reform Commission prohibited Meta's $2 billion purchase of Singapore-based Manus, a developer of autonomous AI agents for tasks like coding and data analysis. The block, announced Monday after a security review, requires unwinding the deal announced in late December 2025; regulators had earlier barred Manus co-founders from leaving China.
PS, Both links behind paywalls
[China blocks Meta's $2bn purchase of AI group Manus \ \ Regulators had reviewed whether deal violated Beijing's investment rules\ \ https://www.ft.com\\ \
via Alba Chung
Hi, this is Alba with Alibaba cloud.
Alibaba today launched limited beta access to its HappyHorse 1.0, a video generation model designed to help creators produce high-quality, cinematic-style video content. HappyHorse 1.0 is now accessible to creators and enterprise customers globally via HappyHorse official website and through API service on Alibaba Cloud Model Studio
[Alibaba Rolls Out HappyHorse 1.0 in Limited Beta \ \ Alibaba today launched limited beta access to its HappyHorse 1.0, a video generation model designed to help creators produce high-quality, cinematic-style\ \ https://www.alizila.com\\ \
My LinkedIn is https://www.linkedin.com/in/albachung
Feel free to PM me for more details.🙌🏼
Tuesday 28th April 2026
Starting June 1st, GitHub Copilot will move to a usage-based billing model as GitHub Copilot supports more agentic and advanced workflows.
[GitHub Copilot is moving to usage-based billing \ \ Starting June 1, your Copilot usage will consume GitHub AI Credits.\ \ https://github.blog\\ \
Xiaomi Open-Sources MiMo-V2.5 AI Models with Top Agent and Coding Performance
MiMo-V2.5-Pro, a 1.02 trillion parameter model leading open-source benchmarks like 1581 Elo on GDPVal-AA and 63.8% on ClawEval. Its sibling, MiMo-V2.5, handles text, images, videos, and audio with 310 billion parameters and supports a 1 million token context for complex workflows. Available under a permissive MIT license on Hugging Face, the models come with instant framework support and a 100 trillion token grant to boost developers.
Xiaomi MiMo-V2.5 is now officially open-sourced！
MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required.
Two models, both supporting a 1M-token context window :
• MiMo-V2.5-Pro: built for complex agent and
Just dropped two open-source models: MiMo-V2.5-Pro (Code Agent, 1T total) and MiMo-V2.5 (Multimodal Agent, 310B total).
Oh and one more thing — we're giving devs & creators 100T tokens on us. Go build something cool
100T Free Token Grant for Builders
\ \ 100t.xiaomimimo.com Xiaomi MiMo Orbit-创造者百万亿 Token 激励计划 \ \ 邀你参加 Xiaomi MiMo Orbit-创造者百万亿 Token 激励计划，100T Credits 面向全球用户限时发放中](https://t.co/Sfykf7As2J)
Xiaomi MiMo-V2.5 is now officially open-sourced！
MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required.
Two models, both supporting a 1M-token context window :
• MiMo-V2.5-Pro: built for complex agent and
via Robby Yung, An X article about Ineffable a new AI research lab based in London which is focused on building a superlearner a system that discovers all knowledge directly through its own experience, from elementary motor skills to profound intellectual breakthroughs. No pre-training. No imitation. Just an agent learning endlessly from the consequences of its own actions in a world built to teach it.
via Arnold Concepcion a blog post by Shaun Warman which talks about how Frontier AI is sold at a structural loss because users are still teaching the models.
Three predictions for what happens when the apprenticeship ends — and who gets locked out of the workshop afterward.
Wednesday 29th April 2026
Anthropic with a coalition of partners including Blender, Autodesk, Adobe, Ableton, and Splice, are releasing a set of connectors—tools that let Claude work alongside the software creative professionals rely on, so creatives can extend their reach.
Claude now connects to the tools creative professionals already use.
With the new Blender connector, you can debug a scene, build new tools, or batch-apply changes across every object, directly from Claude.
[Claude for Creative Work \ \ Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.\ \ https://www.anthropic.com\\ \
US startup Poolside debuts its first open-weight model, Laguna XS.2, a 33B-A3B-parameter MoE model, and Laguna M.1, a proprietary 225B-A23B-parameter MoE model. Poolside founders are Eiso Kant and Jason Warner (former CTO of Github)
Today @poolsideai is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models
We started Poolside because we believed that to build truly capable coding agents, you need to own the full stack: data, training, reinforcement learning, inference.
Khan Academy founder Sal Khan is teaming up with TED to launch a "radically affordable" bachelor’s degree equipping students for an AI-powered workplace. Expected to announce the project in Vancouver at the TED2026 conference
Khan told the SF Standard that unlike degrees from elite universities, the new institute will be “radically affordable. We’re openly talking about sub-$10,000 for the full degree, and I’m hoping to be aggressive with things like financial aid [and] potentially geo-based pricing.”
[Sal Khan launching a $10K AI degree, with help from Google, Microsoft, and Replit \ \ The Khan Academy founder is teaming up with TED to offer a bachelor's in AI skills.\ \ https://sfstandard.com\\ \
via Alex
This is super interesting.
A 13B pre-internet trained model to prove whether LLMs are more than just stochastic parrots:
In short (preliminary results and the approach is flawed in my opinion): LLMs show non-zero learning capabilities from context alone. Obviously python coding problems never touched the training data but it still is able to get some results correct.
The effect is very very small (0.05% success rate) but it shows that LLMs can come to novel (not included in training) conclusions
User
What would an electronic brain be capable of doing?
talkie-1930
An electronic brain would be capable of recording, feeling, and perceiving everything that comes within the range of the senses. It would be capable of knowing colours, sounds, tastes, and smells; it would be capable of pleasure and pain; and it would be capable of thought and volition. In a word, an electronic brain would be a perfectly sensible brain.
User
Would the electronic brain be able to replace human labor?
talkie-1930
No; for, although an intelligent electronic brain would do everything that a human brain can do, it could not do anything more. The utmost that an electronic brain could accomplish would be to think, and to act upon the thoughts; but it could not execute. Muscular labour must still be performed by muscular agency.
The article "AI's Economics Don't Make Sense" by Ed Zitron discusses several interconnected fundamental problems with how generative AI companies operate and monetize their services.
[AI's Economics Don't Make Sense \ \ If you liked this piece, please subscribe to my premium newsletter. It's $70 a year, or $7 a month, and in return you get a weekly newsletter that's usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI's finances,\ \ https://www.wheresyoured.at\\ \
via Po Chu
Cursor + Opus 4.6 broke many safety guardrails and almost destroyed a whole company
[PocketOS maker says an AI agent "deleted our production database in 9 seconds." \ \ The details of what happened should be taken with a grain of salt since some of its self-reported by the chatbot, which can be tricky.\ \ https://www.theverge.com\\ \
original source
Thursday 30th April 2026
Came across this X thread which links to content from OpenAI and Anthropic describing the recommendations in how prompts should be adapted when using their latest models Opus 4.7 and GPT-5.5
Both OpenAI and Anthropic just released official prompting guides.
Both say the same thing.
Your old prompts don’t work anymore.
But for opposite reasons.
Claude Opus 4.7 stopped guessing what you meant. It does exactly what you type. Nothing more, nothing less.
Vague
A claim from Theo that certain phrasing in commit messages triggers different behaviour from Claude Code Also sharing a link to the quote tweets. Sharing this with no commentary and I think Anthropic deserves their right to respond. Would appreciate if chatter about this is minimal or none and we wait for the dust to settle.
Fun fact - if you have a recent commit that mentions OpenClaw in a json blob, Claude Code will either refuse your request or bill you extra money.
This is an empty repo, I'm just calling Claude Code directly. Insanity.
Fun fact - if you have a recent commit that mentions OpenClaw in a json blob, Claude Code will either refuse your request or bill you extra money.
This is an empty repo, I'm just calling Claude Code directly. Insanity.
via Abdeali Chandanwala
Hey everyone 😊
I am looking for a AI ADs management tool which can create, manage, monitor ad campaigns on linkedin, facebook, instagram and google PPC and give report on what's working and why
Adobe CX Enterprise seems to be an option - but its in Beta I guess - no open access found to it. Any alternatives ?
Friday 1st May 2026
OpenAI Updates Codex App for Coding and Everyday Tasks
Andrew Ambrosino from OpenAI announced the update, dubbing it 'Codex for everything' with a dynamic UI that shows progress panels, artifacts like Notion docs and GitHub pull requests, and tools for slides, sheets, and annotations. Key gains include 20% faster computer and browser control, role-tailored onboarding for finance, data science, or marketing, and a cleaner design that feels natural across tasks. Users like Sherwin Wu call it their most-used work app, praising the polish, though some note minor lag and request extras like remote connections.
Codex for everything:
- Dynamic UI for the task at hand
- 20% faster computer & browser use
- Even better slides and sheets
- Annotate in browser, artifacts, and code
- Easier to get started
- Cleaner design across the app
- Performance improvements
- (no clunky
xAI has launched Grok 4.3, achieving 53 on the Artificial Analysis Intelligence Index with improved agentic performance, ~40% lower input price, and ~60% lower output price than Grok 4.20
I was reading the documentation earlier. It's unique that it has the X Search tool
The X Search tool enables Grok to perform keyword search, semantic search, user search, and thread fetch on X (formerly Twitter). This powerful tool allows the model to access real-time social media content, analyze posts, and gather insights from X's vast data.
The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the
The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the
[X Search | xAI Docs \ \ Learn how to use the X Search tool for searching X posts, users, and threads.\ \ https://docs.x.ai\\ \
Saturday 2nd May 2026
In major news for the legal tech market, Microsoft is specifically targeting that sector with a ‘Legal Agent’ in Word. It is understood that the team that joined from Robin AI has been integral to this product launch.
Legal Agent in Word is here, helping to analyze complex legal documents and make tracked edits with precision. Now available via the Frontier program starting in the US.
Learn more: msft.it/6010vyjyA
Microsoft just turned an $11 billion startup into a Word feature.
Harvey raised $200M at an $11B valuation in March on the bet that legal AI is its own surface. The numbers held that up. $190M ARR per TechCrunch's December reporting. 100,000 lawyers across 1,300 organizations
Today we’re introducing a new Legal Agent in @Microsoft Word, built to support the precision and rigor legal work demands. Every clause matters. Every redline tells a story. That’s why this agent was built to follow the structured workflows lawyers use while keeping them fully in
Below is a Youtube playlist of videos from Sequoia Capitals AI Ascent 2026 event including sessions with Nvidia's Jim Fan, OpenAI's Greg Brockman, Andrej Karpathy and Nobel Prize laureate Demis Hassabis of Google Deepmind.
https://www.youtube.com/playlist?list=PLOhHNjZItNnOkkZThzULo1Ygg7JR6T3MG
a traditional pagoda surrounded by blooming cherry trees, in the style of terraced cityscapes, light red and sky-blue, japanese photography, anime aesthetic, mountainous vistas, silver and crimson, multi-layered
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 17-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-17-2026 fTWX920phw50pfJfPxtSSun, 26 Apr 2026 01:29:09 GMT
Not a week goes by without some model releases and this week ended with the long awaited Deepseek v4 in both Flash and Pro variants. I expect more and more inference providers to make this available soon as well as performance to increase as everybody tunes their stack. Other models of interest are GPT-5.5 and ChatGPT Images 2.0 from OpenAI which have received excellent reviews. Alibaba's dense smallish model Qwen 3.6-27B also surprised many with its excellent benchmarks
In other news, SpaceX's collaboration with Cursor with an option to buy them for $60B or pay them $10B for their work also generated buzz as well as this week there are a couple of news items related to legaltech that might be of interest to some readers
I also thought I'd share a LinkedIn post I made recently demonstrating an interesting way to watch Youtube via the Obsidian Web Clipper browser extension. I hope that readers find this useful
https://www.linkedin.com/feed/update/urn:li:activity:7453785426387107840/
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 19th Apr 2026 to Saturday 25th Apr 2026
Sunday 19th April 2026
Couple of xAI news including its Speech-to-Text API which I tested via some audio files from my conversation series and didn't get good results.
I've sent an email to their support to see if its something I did wrong or is the STT API more hype than real. Hopefully their devrels besides Elon will identify themselves on X
https://grok.com/release-notes/apr-17-2026
Supplemental training has been added to 4.3.
Grok 4.4 will be twice the size (1T) with training data through early April. Probably ready for release in early May.
Grok 4.5 will be 1.5T and hopefully out by late May.
Grok's Speech to Text API is now available.
Instant, multi-speaker transcription across 25 languages - at the best price in the market.
\ \ x.ai xAI — Creators of Grok, the AI Chatbot \ \ xAI builds Grok, an AI chatbot with voice chat, image and video generation, real-time search, and advanced reasoning. Try Grok at grok.com.](https://t.co/eGbB2bDtZf)
via Nils Phil
If you're in robotics, it's a really good idea to learn speak Chinese. I made this handy Claude tutor for you:
I use this tutor in Cursor using the Claude Code plugin.
Simply set a Target and Aspiration, and ask Claude to reset your progress, then start playing the built in games.
Link:
\ \ github.com GitHub - Broodsugar/mandarintutor: A set of markdown files to point Claude towards to get an... \ \ A set of markdown files to point Claude towards to get an amazing mandarin tutor - Broodsugar/mandarintutor](https://t.co/8uU7VP00w6)
Monday 20th April 2026
via Vincent Alliaga
Vercel breached, citing Context.ai as the attack vector
[Vercel April 2026 security incident | Vercel Knowledge Base \ \ We've identified a security incident that involved unauthorized access to certain internal Vercel systems.\ \ https://vercel.com\\ \
Joseph Cooper announced that he would personally DJing and vibe coding simultaneously on stage here in Hong Kong, April 30th, 2026
[Nullshot Grounds HK 🇭🇰: Beats, Builders & AI with Ashford Benjamin · Luma \ \ Welcome to the inaugural Nullshot Grounds. Hosted by Nullshot.ai in partnership with Ashford Benjamin, this is a brand new, quarterly networking series...\ \ https://luma.com\\ \
Tuesday 21st April 2026
via Robby Yung
Yann LeCun was right the entire time. And generative AI might be a dead end.
For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute.
The theory was simple: if you make the model big enough, it will
Moonshot AI Releases Kimi K2.6 with Top Open-Source Benchmarks
The Beijing-based company built K2.6 on a 1 trillion-parameter mixture-of-experts architecture, featuring a 256,000-token context window and native vision from a 400-million-parameter encoder. It scores highest among open-source models on tests like Humanity's Last Exam at 54.0, SWE-Bench Pro at 58.6, and others, even edging some closed models like GPT-5.4. Developers can grab the weights on Hugging Face under a commercial-friendly license, with real-world demos creating full React sites, 3D animations, and optimized inference engines from single prompts. Basecamp's David Heinemeier Hansson called the results 'incredible,' highlighting China's open-source push and big cost savings potential.
Meet Kimi K2.6: Advancing Open-Source Coding
Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
Long-horizon coding - 4,000+
Meet Kimi K2.6 agent - Video hero section, WebGL shaders, real backends. From one prompt.
Video hero sections - cinematic aesthetic, auto-composited
WebGL shader animations - native GLSL / WGSL, liquid metal, caustics, raymarching
Motion design - GSAP + Framer Motion
Microsoft is tightening rate limits on GitHub Copilot, removing Opus from $10-a-month subscriptions, and plans to move users to token/API-based billing later in 2026 in a sign that it's looking for way to cut costs for its AI services.
New signups for Copilot Pro, Pro+, and Student plans are paused to maintain service reliability for current users.
• Usage limits tightened; Pro+ offers 5X higher limits than Pro
\ \ github.blog Changes to GitHub Copilot plans for individuals - GitHub Changelog \ \ As shared in our recent blog post, we’re making the following changes to Copilot plans for individuals as part of our ongoing efforts to ensure service reliability and a sustainable…](https://t.co/sV8aOkGLZ9)
[Exclusive: Microsoft To Shift GitHub Copilot Users To Token-Based Billing, Tighten Rate Limits \ \ Executive Summary: * Internal documents reveal that Microsoft plans to temporarily suspend individual account signups to its GitHub Copilot coding product, as it transitions from requests (single interactions with Copilot) towards token-based billing.\ \ https://www.wheresyoured.at\\ \
OpenAI Launches Chronicle for Smarter Screen-Aware Coding in Codex
Chronicle, an experimental addition to the Codex macOS app, captures recent screen activity—like open docs, error messages, and projects—to build context-aware memories automatically. vailable to ChatGPT Plus and Pro users, it lets AI agents handle tasks such as debugging GitHub issues or drafting docs by scanning files, all without manual recaps. OpenAI leaders like Sam Altman and Greg Brockman call it 'surprisingly magical,' though it requires screen permissions, processes images on servers, and carries privacy risks like capturing sensitive info.
Last week, we released a preview of memories in Codex.
Today, we’re expanding the experiment with Chronicle, which improves memories using recent screen context.
Now, Codex can help with what you’ve been working on without you restating context.
The internal working name for this was "telepathy", and it feels like it.
We are releasing a *research preview* of Chronicle in Codex. It allows codex to build up memories based on your day to day work on your computer and then refer to these memories to be a lot more helpful.
Available for PRO subscriptions and on Mac to start. This is early and
Chronicle is an experimental feature giving Codex the ability to see and have recent memory over what you see, automatically giving it full context on what you're doing. Feels surprisingly magical to use.
Last week, we released a preview of memories in Codex.
Today, we’re expanding the experiment with Chronicle, which improves memories using recent screen context.
Now, Codex can help with what you’ve been working on without you restating context.
via Caterina Zhang
Hi everyone, I'm an independent musician, I do song writing and vocal, and use various Ai tools for final production. If anyone's interested in collaboration please let me know.
Here's the link of one piece of my work.
Recently came across Vibecon which is a virtual event with options for free and paid participation . Speakers from Deep mind, Microsoft, Kilocode, Monday.com , Cloudflare, together.ai
[VIBECON - AI & LLM Conference 2026 \ \ Apr 29-30, Online. For those who build with AI. Speakers from Anthropic, GitHub, Replit, Cognition, Microsoft & more.\ \ https://vibecon.io\\ \
via Yat Siu
Interesting perspective here too if true haven't seen it for myself
Interesting shift. These highly subsidized subs are out there to get your code to improve their models. If you use AI for things useful to you, but not code, you are not valuable to them.
\ \ reddit.com From the SillyTavernAI community on Reddit \ \ Explore this post and more from the SillyTavernAI community](https://t.co/H45BCP01Qb)
New policy from Atlassian
Unless you opt out by August 17th 2026, data from Jira and Confluence will automatically be used for AI training. Some data cannot be opted out at all on some plans.
New policy from @Atlassian:
if your data is stored in a database that a company can freely read and access (i.e. not end-to-end encrypted), the company will eventually update their ToS so they can use your data for AI training — the incentives are too strong to resist
via Valerii Anufriev
open-source reconstruction of Anthropic's Mythos based on publicly avaiiable data
[GitHub - kyegomez/OpenMythos: A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature. \ \ A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature. - kyegomez/OpenMythos\ \ https://github.com\\ \
Wednesday 22nd April 2026
OpenAI Launches ChatGPT Images 2.0 with Smarter Visual Tools
OpenAI released ChatGPT Images 2.0 powered by the gpt-image-2 model that handles sharper edits, complex layouts, and real-time data like San Francisco's weather during a live demo. All users get the standard version, while paid plans unlock 'Thinking' mode for web searches, multiple variants, and consistent outputs up to 2K resolution. Benchmarks show it topping charts, with early testers creating intricate grids and realistic newspaper fronts that older tools couldn't match, opening doors for creators and developers alike.
Introducing ChatGPT Images 2.0
A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence.
Video made with ChatGPT Images
What makes ChatGPT Images 2.0 a state-of-the-art image generation model?
Researchers behind the model explain. A thread:
Thinking & Intelligence in ChatGPT Images 2.0, demonstrated by @ayaanzhaque
gpt-image-2 is here, available today in the API and Codex.
The most capable image generation model yet, built for production-grade workflows with stronger text rendering, layout, editing, resolution, and multilingual rendering.
SpaceX announces partnership with Cursor AI including right to acquire for $60 billion or pay $10 billion
SpaceX revealed it is collaborating closely with Cursor AI to develop the world's best coding and knowledge work AI, leveraging Cursor's product for expert software engineers and SpaceX's Colossus supercomputer with a million H100 equivalents. Cursor has granted SpaceX the option to acquire the company later this year for $60 billion or pay $10 billion for their joint work.
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI.
Various links related to observations by many people of Anthropic removing Claude Code from its Pro subscription, subsequent clarification from an Anthropic staffer and then OpenAI responding to Anthropic
https://www.reddit.com/r/ClaudeAI/comments/1srzhd7/psa_claude_pro_no_longer_lists_claude_code_as_an/
https://www.reddit.com/r/Anthropic/comments/1rkijk6/anthropic_reduces_the_value_of_max_plans_by/
For clarity, we're running a small test on ~2% of new prosumer signups. Existing Pro and Max subscribers aren't affected.
Anthropic just pulled Claude Code from the Pro plan.
Pro users wanting it need Max now.
$100/month minimum. 5x jump.
I'm on Max 20x so I'm fine.
Flagging for anyone on Pro who's about to find out.
No announcement. Just a pricing page edit.
I don't know what they are doing over there, but Codex will continue to be available both in the FREE and PLUS ($20) plans. We have the compute and efficient models to support it. For important changes, we will engage with the community well ahead of making them.
Transparency
For clarity, we're running a small test on ~2% of new prosumer signups. Existing Pro and Max subscribers aren't affected.
Sullivan & Cromwell Files Emergency ‘Please Don’t Sanction Us For All These AI Hallucinations’ Letter
Spectrum: An open source framework that brings AI agents to iMessage, WhatsApp, Telegram, Slack, and SMS/RCS, through one unified API.
[Introducing Spectrum: Agents for the rest of us - Photon Blog \ \ Photon powers conversational AI agents on iMessage, WhatsApp, Telegram, and more. Open-source Spectrum framework + SDK for seamless agent interactions.\ \ https://photon.codes\\ \
Couple of posts from Robby Yung
Anthropic said Mythos was too dangerous to release. Then four random guys in a Discord gained access on day one by guessing the URL...
This is pretty insane:
→ Group in a private Discord guessed the endpoint from Anthropic's naming conventions
→ They figured out the
Anthropic's Mythos has been accessed by a small group of unauthorized users, raising questions about control of the AI model bloomberg.com/news/articles/…
Today, we’re open-sourcing the draft specification for DESIGN.md, so it can be used across any tool or platform. We’re also adding new capabilities.
DESIGN.md lets you easily export and import your design rules from project to project. Instead of guessing intent, agents know
Thursday 23rd April 2026
Qwen3.6-27B Alibaba Qwen team latest dense, open-source model, packing flagship-level coding power
🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks
💡 Strong reasoning across text & multimodal tasks
🔄 Supports thinking & non-thinking modes
✅ Apache 2.0 — fully open, fully yours
Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power!
Yes, 27B, and Qwen3.6-27B punches way above its weight.
What's new:
Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks
Strong
via OpenAI
Today we’re releasing OpenAI Privacy Filter, an open-weight model for detecting and redacting personally identifiable information (PII) in text.
Privacy Filter is a small model with frontier personal data detection capability. It is designed for high-throughput privacy workflows, and is able to perform context-aware detection of PII in unstructured text. It can run locally, which means that PII can be masked or redacted without leaving your machine. It processes long inputs efficiently, making redaction decisions in a quick, single pass.
The model is available today under the Apache 2.0 license on Hugging Face and Github. It is intended for experimentation, customization, and commercial deployment, and it can be fine-tuned for different data distributions and privacy policies.
via Anthony Estebe
Introducing workspace agents in ChatGPT—shared agents that can handle complex tasks and long-running workflows across tools and teams.
Google’s infra announcements at Cloud Next'26 were substantial, not cosmetic:
They introduced 8th-gen TPUs with a split design: TPU 8t for training and TPU 8i for inference. Google says 8t delivers nearly 3x compute per pod vs Ironwood, while 8i connects 1,152 TPUs per pod for low-latency inference and high-throughput multi-agent workloads
We’re introducing our eighth generation of TPUs. This time, we’re taking a dual chip approach: TPU 8t, optimized for training, and TPU 8i, optimized for inference.
TPU 8t achieves nearly three times the compute performance per pod over our previous generation, Ironwood.
TPU
Google also said they can now scale to a million TPUs within a single cluster with TPU8t
TPU 8i/8t seems to be a massive upgrade in compute
Friday 24th April 2026
OpenAI released GPT-5.5 to paid ChatGPT users on Plus, Pro, Business, and Enterprise plans, plus Codex, with a stronger Pro variant for higher tiers. It excels in agentic coding, research, data analysis, and multi-tool workflows, topping benchmarks like Terminal-Bench 2.0 at 82.7% and OSWorld-Verified at 78.7%. Early users praise its smarts but note the higher API costs of $5 per million input tokens and $30 per million output.
Introducing GPT-5.5
A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done.
Now available in ChatGPT and Codex.
With GPT-5.5, Codex now gets more of the job done across the browser, files, docs, and your computer.
We've expanded browser use so Codex can interact with web apps, and test flows, click through pages, capture screenshots, and iterate on what it sees until it completes the
https://openai.com/index/introducing-gpt-5-5/
Based on Kevin Dent's question on how many in the group use ChatGPT vs Claude? Vano responded with
I use both actively. Ending up spending most Claude usage typically on Cowork. For coding, always using both and make them crosscheck each other's work.
For multi-tool agentic tasks such as monitoring Slack, updating tasks and statuses in project management tool, etc. ChatGPT is more efficient as quality is very much the same and much less daily/weekly usage allocation is spent compared to Claude.
And obviously some features are unique to each product. + using Gemini as part of Google Workspace
Saturday 25th April 2026
Came across OpenWork which bills itself as an open source, enterprise-ready alternative to Claude Cowork that companies can deploy internally — with their own LLMs, their own infrastructure, and their own compliance posture.
We launched 3 months ago, and already have 14k GitHub stars and 150k+ downloads.
[OpenWork: The open source alternative to Claude Cowork | Y Combinator \ \ The open source alternative to Claude Cowork. Founded in 2026 by Ben Shafii, OpenWork has 4 employees based in . OpenWork is hiring for 2 roles in engineering and design.\ \ https://www.ycombinator.com\\ \
[Roadmap - OpenWork Docs \ \ What OpenWork supports today and what is coming next.\ \ https://openworklabs.com\\ \
ComfyUI Raises $30 Million at $500 Million Valuation
The open-source tool, known for its node-based interface that gives pros precise control over generative AI workflows, secured $30 million led by Craft Ventures, pushing its total funding to $47 million. With over 4 million users, 60,000 community-built nodes, and 150,000 daily downloads—all without marketing—the funding will fuel Comfy Cloud for teams, better local installs, and support for new models while keeping the core open source. Founders like Yoland Yan and Robin Huang credit the community for the success, with studios already hiring 'ComfyUI artists' and investors praising its product-market fit.
[ComfyUI raises $30M to scale open-source AI for creative production \ \ Building the AI creation engine for visual professionals\ \ https://blog.comfy.org\\ \
We just raised $30M at a $500M valuation, bringing our total funding to $47M.
Led by @craft_ventures , with @PaceCap , @chemistry , TruArrow, and others.
But before anything else: this belongs to the community.
ComfyUI started as one developer and one open-source repo. No
A breathtaking, sweeping desert landscape, suddenly transformed by a rare and miraculous rainfall, as millions of wildflowers of every shape, size, and color – velvety reds, sunshine yellows, delicate pinks, and soft lavenders – burst forth from the cracked, sandy earth, creating a striking visual contrast between the arid, weathered dunes and the vibrant, lush blossoms that blanket the terrain, with some flowers swaying gently in the breeze, while others stand tall and proud, as if defying the harsh, desert environment, under a bright blue sky with only a few wispy, white clouds.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 16-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-16-2026 EAizPaqM5SLRWvMiVVjQSun, 19 Apr 2026 00:40:25 GMTDwarkesh's Patel interview with Jensen Huang definitely got a lot of chatter on X. Opus 4.7 release was received well with updated tips for getting more out of it by Boris Cherny. Anthropic continues to push out continious updates but OpenAI isn't sitting still with an updated Codex desktop app. swyx's interview with Simon Last and Sarah Sach of Notion about Notion AI is also worth listening to
Very happy to see members of Alibaba Cloud joining the Telegram group and introducing themselves. Hopefully other hyperscalers will also join and introduce themselves and in the future I hope that the model researchers themselves can participate in the discussion
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 12th Apr 2026 to Saturday 18th Apr 2026
Sunday 12th April 2026
Elon Musk states xAI's Grok will approach Claude Opus 4.6 level by May and match or exceed it by June
Elon Musk replied to a post about the upcoming Grok Build, predicting it will get close to Anthropic's Claude Opus 4.6 performance by May and match or possibly exceed it by Jun
It will take until May to be close to Opus 4.6 and June to match and maybe exceed. Short time by normal standards, but long time in the AI arena.
via Yat Siu where he linked to a new feature from Telegram Bot's platform which would unlock complex agentic flows and AI-powered use cases.
https://core.telegram.org/bots/features#bot-to-bot-communication
Coop also responded that his favorite recent feature of TG is threads and streaming text, really allowing for a native agentic experience in TG compared to slack/whatsapp/etc.
Monday 13th April 2026
Tuesday 14th April 2026
Anthropic debuts Claude for Word in beta, adding AI editing tools and clickable citations, targeting document-heavy workflows, for Team and Enterprise users
Claude for Word is now in beta.
Draft, edit, and revise documents directly from the sidebar. Claude preserves your formatting, and edits appear as tracked changes.
Available on Team and Enterprise plans.
[Claude now works across all three major Office apps \ \ Anthropic already offered Claude add-ins for Excel and PowerPoint. Now the company is rounding out its Microsoft Office integration with a Word add-in.\ \ https://the-decoder.com\\ \
Flurry of messages from various group members related to their experiences on burning through tokens and hitting usage limits on their subscription plans with the consensus generally forming that OpenAI more generous with their plans relative to Anthropic. Encourage newsletter readers to read this directly via the telegram group
Wednesday 15th April 2026
We launched Eddie AI v3 today!
For the past few months we’ve been quietly working on something we’re really excited about.
It began with an idea: what if you could finish a shoot day, send Eddie your footage, and wake up to a rough cut?
Today, that idea is reality. Eddie v3 is live.
The headline feature is Night Shift: text Eddie a link to your footage in Frame.io, Google Drive, or Dropbox - literally just send it to +1 650 444 9211 and by 8am the next morning you've got a rough cut, logs, and organized media ready to open in Premiere, Resolve, or Final Cut.
It also handles B-roll placement for docu-style projects now with interview soundbites, story structure, and B-roll sequences assembled automatically.
We built Night Shift because the best time to process footage is when nobody’s awake to watch the progress bar.
Get started by texting Eddie a hello: +1 650 444 9211
Or download Eddie AI > New Project > Show All Modes > Night Shift
For those going to NAB, text Eddie NAB2026 to get a link to our party with Reddit Post Pro.
Various news about updates in Claude Code
==
From Felix Rieseberg of Anthropic
We're launching a ~ new ~ version of Claude Code in the desktop app. It's been redesigned from the ground up for parallel work and is a lot faster. Some of the new features: An integrated terminal, in-app file editing, a rebuilt diff viewer, side chats, SSH connections - and a large amount of little quality of life.
It's been my main way to use Claude Code for the last few weeks.
Today is a big day! We're launching a ~ new ~ version of Claude Code in the desktop app. It's been redesigned from the ground up for parallel work and is a lot faster.
It's been my main way to use Claude Code for the last few weeks.
We've redesigned Claude Code on desktop.
You can now run multiple Claude sessions side by side from one window, with a new sidebar to manage them all.
Now in research preview: routines in Claude Code.
Configure a routine once (a prompt, a repo, and your connectors), and it can run on a schedule, from an API call, or in response to an event.
Routines run on our web infrastructure, so you don't have to keep your laptop open.
Now in research preview: routines in Claude Code.
Configure a routine once (a prompt, a repo, and your connectors), and it can run on a schedule, from an API call, or in response to an event.
Routines run on our web infrastructure, so you don't have to keep your laptop open.
[Automate work with routines - Claude Code Docs \ \ Put Claude Code on autopilot. Define routines that run on a schedule, trigger on API calls, or react to GitHub events from Anthropic-managed cloud infrastructure.\ \ https://code.claude.com\\ \
Google just shipped "Skills" for Gemini in Chrome — reusable AI workflows that run across any webpage with one click.
Today, we’re introducing Skills in @GoogleChrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long
[Turn your best AI prompts into one-click tools in Chrome \ \ Skills in Chrome let you discover, save and remix AI workflows - and repeat them instantly.\ \ https://blog.google\\ \
Uber's AI Coding Tools Exhaust 2026 Budget Early
In an interview, Uber's CTO Neppalli Naga said surging adoption among engineers—now at 63% using Claude Code—pushed costs beyond projections, forcing a budget rethink. Uber's 95% of engineers rely on AI monthly, with an internal agent generating 1,800 code changes weekly, amid a shift to usage-based billing and compute shortages. Tech leaders reacted with quips about unchecked spending and advice on open-source alternatives and cost controls.
Uber's CTO told @LauraBratton5 that AI coding tools—particularly Anthropic’s Claude Code—has already maxed out its 2026 AI budget
“I'm back to the drawing board, because the budget I thought I would need is blown away already,” Neppalli Naga said.
\ \ theinformation.com Uber CTO Shows How Claude Code Can Blow Up AI Budgets \ \ Uber’s surging use of AI coding tools, particularly Anthropic’s Claude Code, has maxed out its full year AI budget just a few months into 2026, according to chief technology officer Praveen Neppalli...](https://t.co/4JIBfqUO7V)
Uber gave 5,000 engineers access to Claude Code in December. By February, usage had nearly doubled. By April, the CTO told the company they'd burned through the entire annual AI budget.
The adoption curve tells you everything about what happened. In December 2024, 32% of Uber's
Thursday 16th April 2026
Various commentary on Allbirds selling its IP for US $39 Million, changing its name to NewBird AI, getting a line of credit for US$ 50 million and repositioning itself as a renter of compute and its stock price going up 900%
Allbirds was worth $21 million at Tuesday's close. Today they renamed themselves "NewBird AI" and the stock touched +835%. Figma, worth $60 billion eight months ago, is now worth $9.6 billion.
Allbirds doesn't own a single GPU. They agreed to sell the actual shoe business to
swyx aka Shawn Wang of Latent Space/AI Engineer/Cognition fame with a banger of a 1 hr 25 min podcast with Simon Last co-founder of Notion and Sarah Sachs, Head of AI at Notion.
Notion has rebuilt Notion AI 5 times. This is the first time Simon has told the entire story.
I've been trying to do this interview for ~3 years. Notion is one of the top ~3? knowledge work tools in the world, crossing 100M users in 2024 and now shipping the AI productivity suite that Ivan Zhao
wants to be "steel and steam for organizations" — the backbone of a new Industrial Revolution of Infinite Minds that will change the world.
[Notion's Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future - Simon Last & Sarah Sachs of Notion \ \ Notion's cofounder and head of AI peel back the curtains to talk about finally shipping the Knowledge Work AI agents the world has been waiting for.\ \ https://www.latent.space\\ \
via Thariq of Anthropic
===
Today we’re rolling out a new update to /usage to help you understand your usage with Claude Code, this was informed by a number of conversations with customers. There’s a surprising amount of detail here that can really shape your experience with Claude Code and almost all of it comes from managing your context window.
Nvidia's Jensen Huang Defends AI Chip Dominance in a relatively tense Interview with Dwarkesh Patel
Huang told Dwarkesh Patel that Google's TPUs and Amazon's Trainium chips owe their growth almost entirely to Anthropic, calling it a unique case rather than a broader trend. He highlighted Nvidia's advantages in CUDA programmability, a massive GPU ecosystem, and top benchmark results, while regretting past misses on early investments in firms like Anthropic and OpenAI—now backed by billions from Nvidia. On China, Huang warned that export bans could boost local rivals like Huawei, urging sales of downgraded chips to keep global developers on Nvidia's platform. Listeners praised the host's tough questions and Huang's candid takes on supply chains, energy bottlenecks, and Nvidia's long-term edge.
The Jensen Huang episode.
0:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains?
0:16:25 – Will TPUs break Nvidia’s hold on AI compute?
0:41:06 – Why doesn’t Nvidia become a hyperscaler?
0:57:36 – Should we be selling AI chips to China?
1:35:06 – Why doesn’t Nvidia
Distilled recap of the back-and-forth with Jensen on export controls:
Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security?
Jensen:
I asked Jensen: “2 out of the top 3 models in the world, Claude and Gemini, were trained on TPU. What does that mean for Nvidia going forward?”
After a long technical back and forth about what the right accelerator for AI looks like (see full episode), Jensen lays down the
Watching the takes on Jensen / Dwarkesh.
Credit first: these were the best questions Jensen's been asked in a long-form sit-down. Dwarkesh didn't lob softballs. He pressed on commoditization, ASIC economics, margin compression, customer concentration. Real questions.
But the
The Jensen Huang episode.
0:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains?
0:16:25 – Will TPUs break Nvidia’s hold on AI compute?
0:41:06 – Why doesn’t Nvidia become a hyperscaler?
0:57:36 – Should we be selling AI chips to China?
1:35:06 – Why doesn’t Nvidia
Anthropic rolls out identity verification that may require Claude users to provide a government-issued photo ID and live selfie to access “certain capabilities”
https://decrypt.co/364509/claude-anthropic-government-id-kyc-privacy
https://support.claude.com/en/articles/14328960-identity-verification-on-claude
Claude Opus 4.7 is available today on http://claude.ai, the Claude Platform, and all major cloud platforms.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.
Pricing remains the same as Opus 4.6: $5 per million input tokens and $25 per million output tokens.
[Introducing Claude Opus 4.7 \ \ Our latest model, Claude Opus 4.7, is now generally available. Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks.\ \ https://www.anthropic.com\\ \
Claude Opus 4.7 is now available in Cursor. We've found it to be impressively autonomous and more creative in its reasoning.
We're launching it with 50% off for a limited time. Enjoy!
Claude Opus 4.7 is now available in Windsurf 2.0!
Anthropic has clearly optimized Claude Opus 4.7 for sustained reasoning over long runs. Agents stay on track longer without intervention, so engineers can manage multiple agents in parallel instead of working 1:1.
Claude Opus
Friday 17th April 2026
Factory raises $150M Series C at $1.5B valuation. Their product Droid is model-agnostic, interface-agnostic and IMHO has one of the best if not the best context management with awesome compatability with many of Claude Code features such as skills, sub-agents, plugins, hooks etc
Today, we are excited to announce our $150M Series C led by Khosla Ventures with strong participation from Sequoia Capital, Blackstone, Insight Partners, Evantic Capital, Abstract Ventures, 20VC, NEA, and Mantis VC.
This puts our valuation at $1.5B and will accelerate our
I got introduced to Matan from one of the best investors in the world. He said to me:
"Harry, I am trying to put 10% of my fund into Matan and Factory."
When you get that message. You stop what you are doing. Cancel everything and arrange a walk.
About 5 mins into the walk I
Boris Cherny with some tips to get more out of 4.7 and announcement from Thariq about updated mechanisms for devs to keep up wiht Claude Code information
Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive. Sharing a few tips to get more out of 4.7
We’ve heard your feedback and we’re working on making it easier to follow everything that’s happening with Claude Code.
First, we’re introducing @ClaudeDevs, the official channel to follow for all updates on Claude Code and the Claude platform.
For the developers building with Claude, a direct line from the team.
Follow for changelogs, API releases, community updates, and deep dives.
[Best practices for using Claude Opus 4.7 with Claude Code | Claude \ \ Learn how to use recalibrated effort levels, adaptive thinking, and new defaults to optimize your Claude Code setup with Opus 4.7.\ \ https://claude.com\\ \
OpenAI updates its Codex desktop app with features like computer control, an in-app browser, image generation, automation memory, plugin support, and more
Codex for (almost) everything.
It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.
https://openai.com/index/codex-for-almost-everything/
AI labs are buying Slack, Jira, and email archives from defunct startups to build “reinforcement learning gyms” and train AI agents in simulated workplaces
AI labs are paying hundreds of thousands of dollars to buy email, Slack and Jira threads from dead startups as feedstock for ‘reinforcement learning gyms,’ which specialize in using defunct company data to build simulated work environments
\ \ forbes.com AI’s New Training Data: Your Old Work Slacks And Emails \ \ AI’s New Training Data: Your Old Work Slacks And Emails](https://t.co/QuCk36wAPY)
Saturday 18th April 2026
via Leo Li from Alibaba Cloud
GM everyone, I’m Leo from Alibaba Cloud, taking care of AI Native and Web3 sectors. Here is my Linkedln : https://www.linkedin.com/in/sheungli
Alibaba Cloud is leading the charge as the world’s most prominent cloud service provider, and this year, we’ve made significant strides to become a top AI+Cloud provider globally. We’re planning to share some exciting news by the end of April, and you’ll be among the first to hear about it worldwide, so stay tuned!
Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and more.
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.
Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
140.6K 11:03 PM • Apr 17, 2026
My tips for getting the best results out of Claude Design! I’m on the verticals team at Anthropic which means I serve 7 different products. Claude Design makes it possible!
1. Set up your design system and your core screens. An hour of setup and refinement here is worth it
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.
[Introducing Claude Design by Anthropic Labs \ \ Today, we're launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and more.\ \ https://www.anthropic.com\\ \
The cover image of this newsletter via generated via the Google Nano Banana 2 model within the Freepik tool via the following prompt
Fantasy landscapes set in China, Chinese temple, Asian anime like, Asian anime film drawings::1.5, Japanese anime film drawings::1.7, Satoshi Imamoto's anime::1.3, grand scale, ancient Chinese bronzes, cyber Chinese cities::-1 Japanese anime style vivid and flat coloring::1.6 Japanese anime style coloring with delicate line drawings::1.6 Clear shading
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 15-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-15-2026 J6ts6Nehgp98ewYlRPJISun, 12 Apr 2026 01:21:25 GMTZhipu's launch of GLM-5.1 and Cognition's release of SWE-1.6 were the big highlights with respect updates to agentic codel models. OpenAI's $100/month ChatGPT Pro plan with a 5x Codex usage definitely makes it quite attractive. Elon Musk teases multiple large xAI models (up to 10T parameters) in training
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 5th Apr 2026 to Saturday 11th Apr 2026
Sunday 5th April 2026
Monday 6th April 2026
From RC who previously built Kimi CLI for Moonshot AI comes an early glimpse of Slock of what he terms an agent-human collaboration platform for modern builders and teams. Pricing not yet defined, he says that it will be free for the next 2 weeks. Hermes Agent support and Social Auth login in progress
Hi, I’m RC. I previously built Kimi CLI at Moonshot AI.
Now I’m building Slock, an agent-human collaboration platform for modern builders and teams.
Today, we're shipping a ton of new features and improvements in Slock: search, thread inbox, saved messages, message permalinks,
Came across this on the OpenAI Codex rate card page
Note: As of April 2, 2026, we’ve updated Codex pricing to align with API token usage, instead of per-message pricing. This change is applicable to new and existing ChatGPT Business and new ChatGPT Enterprise plans - please refer to the new rate card in the section below for details.
Customers on existing Plus, Pro and Enterprise/Edu plans should continue to use the legacy rate card. We’ll migrate you to the new rates in the upcoming weeks.
All customers should carefully review both rate cards to understand the pricing changes, and how they apply to your plan.
https://help.openai.com/en/articles/20001106-codex-rate-card
Tuesday 7th April 2026
Actress Milla Jovovich famous for portraying Alice in the Resident Evil series in her instagram story shares about her architecting MemPalace, a new open-source AI memory storage and retrival system with the highest LongMemEval score ever published
https://www.instagram.com/reel/DWzNnqwD2Lu/
https://github.com/milla-jovovich/mempalace
Recently came across this profile of Accio which I had mentioned earlier in this group via MIT Technology Review
====
A look at Alibaba's Accio, an AI sourcing tool that helps small online sellers connect with manufacturers, including in China; it exceeded 10M MAUs in March
[AI is changing how small online sellers decide what to make \ \ Entrepreneurs based in the US are using tools like Alibaba's Accio to compress weeks of product research and supplier hunting into a single chat.\ \ https://www.technologyreview.com\\ \
Wednesday 8th April 2026
Z.ai Launches GLM-5.1, Top Open AI for Coding and Long Tasks
Z.ai released GLM-5.1, a 754-billion-parameter open-weights model excelling in coding and extended agent tasks, topping open-source benchmarks like SWE-Bench Pro at 58.4% and Terminal-Bench 2.0 at 66.5%. It outperformed GPT-5.4 and Claude Opus on self-reported scores by autonomously handling demos such as building a complete desktop with 50+ apps or boosting a vector database 6x via thousands of tool calls. Weights are freely available on Hugging Face under MIT license, with quantized versions for local runs and API access through multiple platforms,
we open-sourced glm-5.1
agents could do about 20 steps by the end of last year. glm-5.1 can do 1,700 rn. autonomous work time may be the most important curve after scaling laws. glm-5.1 will be the first point on that curve that the open-source community can verify with their own
Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Anthropic Launches Project Glasswing to Bolster Software Security with AI
Project Glasswing gives vetted partners early access to Claude Mythos Preview, an advanced AI that excels at finding and exploiting vulnerabilities, scoring far higher than previous models on key benchmarks. It has already uncovered thousands of critical flaws in major operating systems, browsers, FFmpeg, and the Linux kernel, leading to patches. Members like Microsoft, AWS, Apple, Google, and Cisco are strengthening their codebases, with Anthropic providing $100 million in compute credits
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
\ \ anthropic.com Project Glasswing: Securing critical software for the AI era \ \ A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.](https://t.co/NQ7IfEtYk7)
via Ben Jammin
Good timing on this one
Run Gemma 4 locally with OpenClaw in 3 steps
Cognition Releases SWE-1.6 AI Model in Windsurf with Improved Intelligence and Speed
Cognition released SWE-1.6, an advanced AI model matching SWE-Bench Pro performance while enhancing behavioral aspects and user experience through post-training optimizations that reduce assistant turns by 40%. The model is available in Windsurf with a free tier at 200 tokens per second and a fast tier at 950 tokens per second.
We’re releasing SWE-1.6, our best model in both intelligence & model UX. SWE-1.6 matches our Preview model on SWE-Bench Pro while dramatically improving on various behavioral axes.
It’s available today in Windsurf in two modes: free tier (200 tok/s) and fast tier (950 tok/s).
Consolidating some opencode news. PS, Parallel was founded by Parag Agarwal, Twitter's former CEO
GLM-5.1 is now available in Go w/ Zero Data Retention
opencode server now can run under nodejs as we're no longer using any bun specific apis
we're working on a larger refactor now of its internals as we work towards a 2.0
will have nice updates to the plugin and sdk apis
Parallel Search & Extract plugins are now available in @opencode via the Parallel CLI.
Give your agent more reliable, accurate, and efficient web search tools: npmjs.com/package/@paral…
Amazon S3 Files gives AI agents a native file system workspace, ending the object-file split that breaks multi-agent pipelines
For two decades, S3 has been an object store, but today it's something broader. S3 Files lets you mount any bucket as a filesystem—no copies, no sync scripts, no choosing between file and object. @andywarfield tells the full story, including the "filerectories" that almost made
\ \ allthingsdistributed.com S3 Files and the changing face of S3 \ \ Andy Warfield writes about the hard-won lessons dealing with data friction that lead to S3 Files](https://t.co/zrkLOZS5Qe)
Announcing Amazon S3 Files.
The first and only cloud object store with fully-featured, high-performance file system access.
Learn more here. go.aws/4tw17Zg
Only recently did I find out that Ollama offered a subscription which offered cloud access to open-source models
Ollama's cloud is one of the best places to run OpenClaw.
$20 plan is enough for most day to day OpenClaw usage with open models!
To make the switch, all you need is to open the terminal and type:
ollama launch openclaw
Choose a model:
kimi-k2.5:cloud
Magical OpenClaw experiences that use frontier models cost $300-1,000/day today, heading to $10,000/day and more. The future shape of the entire technology industry will be how to drive that to $20/month.
Pro subscription supports 3 models at once.
Max subscription supports 10 models at once.
\ \ ollama.com Pricing · Ollama \ \ Get up and running with large language models.](https://t.co/KhDHpfXK6s)
Looks like Minimax is betting on Hermes from Nousresearch giving it more distribution
We’re partnering with @MiniMax_AI across product and models to make their upcoming releases the best for Hermes Agent users.
MiniMax models are already some of the most-used in Hermes Agent. If you haven’t tried MiniMax M2.7 in Hermes Agent, try it today in the Nous Portal!
via Robby Yung
Today we open the Zapier SDK to everyone.
If you're building with AI agents, this is for you.
I've been using this for 2 months. It's totally changed how I do my job.
You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access
Thursday 9th April 2026
Anthropic Launches Claude Managed Agents in Public Beta
The public beta offers APIs with a pre-built agent harness that manages secure sandboxes, stateful sessions, error recovery, and scaling for long tasks. Developers define tasks, tools, and instructions while the system runs code, browses the web, and integrates with tools like MCP—all viewable in the Claude Console. Companies like Notion, Rakuten, Asana, and Sentry are already building with it, from department agents to AI teammates. Early users report up to 10x faster development and higher success on tough tasks
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.
It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.
Now in public beta on the Claude Platform.
Anthropic just mass-obsoleted every agent orchestration startup in a single launch.
The screenshot tells the full story. That's a production fleet dashboard. 8 agents running. 247 completed tasks. Active status. MCP-connected to HubSpot, pulling deals, generating proposals,
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.
It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.
Now in public beta on the Claude Platform.
via Cham Ho
I would be interested to see if anyone has recommendations for AI code review tools? Am testing a few out at the moment so would welcome any additional recommendations
via Brent Maxwell
I recommend Devin: https://app.devin.ai/review. We've been using Cursor's BugBot for a year, and I've tried a few other options (including rolling our own), but Devin is EXCELLENT. We implemented it about a month ago, and it's basically a replacement for GitHub PR reviews as well as Bugbot.
In our experience, a lot of these PR agents pick up individual bits of code that needs work, but Devin aggregates findings across multiple files and groups them into functional problems and improvements. The UI is very seamless and rich.
Sounds like a paid promotion: it's not. I'm just excited because this has solved some shortcomings that have been annoying me for about a year. Just give it a free test by pointing it at any open source repo. Literally 10m to see whether you like it or not.
Came across this Github repo with what I consider decent content on Hermes.
A 75+ page book published both in English and Chinese
[GitHub - alchaincyf/hermes-agent-orange-book: Hermes Agent 从入门到精通 · 橙皮书系列 · Nous Research 开源 AI Agent 框架实战指南 \ \ Hermes Agent 从入门到精通 · 橙皮书系列 · Nous Research 开源 AI Agent 框架实战指南 - alchaincyf/hermes-agent-orange-book\ \ https://github.com\\ \
Friday 10th April 2026
OpenAI introduces ChatGPT Pro $100 tier with 5X usage limits for Codex compared to Plus
We’re updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex.
We’re introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions.
In ChatGPT, this new Pro tier
Expectations high for these upcoming models from xAI, hopefully they are competitive in agentic coding and also offer good price and are well supported by all the harnesses. June-July is going to get very interesting.
SpaceXAI Colossus 2 now has 7 models in training:
- Imagine V2
- 2 variants of 1T
- 2 variants of 1.5T
- 6T
- 10T
Some catching up to do.
0.5T total. Current Grok is half the size of Sonnet and 1/10th the size of Opus.
Very strong model for its size.
via Ben Jammin
This is really interesting
“every app built on Anything is now buyable, remixable, sellable”
BREAKING: the vibe economy is here!
every app built on Anything is now buyable, remixable, sellable
Saturday 11th April 2026
via Ben Jammin
MMX-CLI gives every Agent seven new senses — image, video, voice, music, vision, search, conversation
A mesmerizing land art masterpiece, featuring an enormous, intricate design of a mythical sparrow creature crafted meticulously using arich palette of stones. The creature's stunning details are made by the contrasting colors and textures of the stones. The serene beach in the background. The diverse array of stones, skillfully arranged to create this magnificent work, evoke a sense of awe and appreciation for the beauty of nature and the artist's talent.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 14-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-14-2026 qHuITz4sJakziuemxfgoSun, 05 Apr 2026 02:39:47 GMTAnthropic's policy change of disallowing their Pro/Max subscribers to use it for third-party harnesses such as Openclaw/Hermes was the big news event capping week 14.
Other news was the release of Qwen-3.6 Plus , Gemma 4, GLM-5V-Turbo, 3 in-house models MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 from Microsoft and compendium of material about voice dictation tools including Wispr Flow's March updates
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 29th Mar 2026 to Saturday 4th Apr 2026
Sunday 29th March 2026
Monday 30th March 2026
Boris Cherny [creator of Claude Code] shared 15 tips for Claude Code include /loop for recurring tasks like PR reviews, /batch for parallel refactors, /teleport for remote sessions, and voice mode by holding the spacebar.
I wanted to share a bunch of my favorite hidden and under-utilized features in Claude Code. I'll focus on the ones I use the most.
Here goes.
via Alex
Copilot adding ads to PRs 😅
https://mastodon.social/@danluu/116317069604398190
via Yat Siu
just shared this, thoughts, critics or otherwise of course welcome:
Alibaba Launches Qwen3.5-Omni Multimodal AI Model Series
Alibaba's Qwen team released the Qwen3.5-Omni model series, including Plus, Flash, and Light Instruct versions. The models support native text, image, audio, and video understanding with 256k context length, over 10 hours of audio input, and more than 400 seconds of 720P video. Key features include Audio-Visual Vibe Coding for generating runnable code from video sketches, speech recognition in 113 languages, speech generation in 36 languages, real-time interaction capabilities, and 215 state-of-the-art scores across multimodal tasks.
1/10 Qwen3.5-Omni is here! Scaling up to a native omni-modal AGI.
Meet the next generation of Qwen, designed for native text, image, audio, and video understanding, with major advances in both intelligence and real-time interaction.
A standout feature:
Audio-Visual Vibe
Tuesday 31st March 2026
OpenAI Launches Codex Plugin for Anthropic's Claude Code
OpenAI released the 'codex-plugin-cc' , letting users integrate its Codex coding agent into Anthropic's Claude Code via a simple marketplace install. Key commands like /codex:review, /codex:adversarial-review, and /codex:rescue handle code checks, tough challenges, and stalled tasks, all powered by models like GPT-5.3-Codex and requiring just a ChatGPT subscription or API key.
We’ve seen Claude Code users bring in Codex for code review and use GPT-5.4 for more complex tasks, so we thought: why not make that easier?
Today we’re open sourcing a plugin for it! You can call Codex from Claude Code with your ChatGPT subscription.
We love an open ecosystem!
I built a new plugin! You can now trigger Codex from Claude Code!
Use the Codex plugin for Claude Code to delegate tasks to Codex or have Codex review your changes using your ChatGPT subscription.
Start by installing the plugin:
Starting today you can use Codex in Claude Code
/plugin marketplace add openai/codex-plugin-cc
Try it out today with:
/codex:review for a normal read-only Codex review
/codex:adversarial-review for a steerable challenge review
/codex:rescue to let codex rescue your code
Vercel publishes guidance on responsible use of AI coding agents like Opus 4.5
Vercel released a blog post outlining internal practices for using AI coding agents responsibly, emphasizing safeguards for security, durability, and availability in mission-critical infrastructure. Key advice includes applying the litmus test of whether one would own a production incident from the agent's pull request, coding quickly but reviewing PRs slowly, and implementing executable guardrails. The post warns that AI-generated code passing CI checks can still pose dangers due to LLM flaws and overconfidence.
When Opus 4.5 came out, it was a one-way door to a new way of engineering. Agents now do most of our coding.
Knowing the inherent flaws and over-confidence of LLMs, we sent a clear message to our teams. Vibing and mission-critical infrastructure don’t go together.
We’re sharing
\ \ vercel.com Agent responsibly - Vercel \ \ There's a difference between leveraging AI and relying on it. A framework for shipping agent-generated code with the judgment and guardrails it requires.](https://t.co/b36GiE76Ue)
Union Square Ventures USV argues that modern AI agents let teams shape software the way MIT’s Building 20 occupants shaped their physical space: continuously modifying tools to fit how they really work, starting from one concrete pain point and iterating from there. They describe a move from “build something people want” (mass-market software) to “build something you want” (custom agents and internal apps tuned to your organization’s processes and tacit knowledge).
Meet the Agents at USV: Arthur, Ellie, Sally, and Friends
| Union Square Ventures | Mar 26, 2026 |
There’s a great story in Stewart Brand’s How Buildings Learn about how a temporary wooden structure left over from World War II became one of the most loved buildings at MIT. During the war, MIT neede...
| 0 collected | Collect |
Wednesday 1st April 2026
A collection of news tidbits about voice dictation products and the rapid rate of adoption of voice dictation amongst enterprises
====
March 2026 Wispr Flow product updates
Willow did a recent April's Fool prank to bring attention to their voice dictation product with a launch video of their new Atlas model The premise was that the new model is actually a call center, and they had humans listening to you as you dictate.
Independent of this prank Willow has a reasonable userbase and people who like its quality.
[Available on Mac, Windows, iOS with Android expected soon]
OTOH, my Instagram feed these days is filled with Mr Beast's promoting Typeless voice dictation software [it's available on Mac, Windows, iOS, Android]
Wispr Flow's CEO Tanay Kothari with a LinkedIn post which mentions speed of adoption of voice dictation at companies
a16z speedrun Andrew Chen with an interesting hardware choice of a USB foot pedal to activate voice dictation in his endeavor to go 'all-in' on voice dictation
so i bought a USB foot pedal that triggers voice dictation for coding/email/whatever
AMA
Thursday 2nd April 2026
Qwen 3.6 Plus dropped and it's free on OpenRouter.
Specifically designed for agentic workflow with 1M context window. 65K output tokens. 3x faster than Claude Opus 4.6 in early tests.
Here is Qwen3.6-Plus: qwen.ai/blog?id=qwen3.6
https://openrouter.ai/qwen/qwen3.6-plus-preview:free
Mercor AI Suffers Data Breach Exposing 939GB of Source Code and 4TB of Training Data from Major AI Labs via LiteLLM Supply Chain Attack
Mercor AI experienced a data breach through a supply chain compromise in the LiteLLM dependency. The incident exposed 939GB of source code and 4TB of state-of-the-art training data belonging to multiple major AI laboratories.
Wow. Incredible amount of SOTA training data now just available to China thanks to @mercor_ai leak. Every major lab. Billions and billions of value and a major national security issue.
More customer data leaks: Amazon, Athena, Aphrodite, Meta, Apple…
Athena and Aphrodite are code names
First the Claude Code leak and now this. In the same week. "AI safety" by way of "we'll lock it up" is just totally dead. Kaput. Pushing up daisies.
Friday 3rd April 2026
Consolidating a flurry of news into one post
Zhipu aka ZAI launches GLM-5V-Turbo: Vision Coding Model a next-generation foundation model specifically engineered to bridge the gap between visual perception and software engineering.
Unlike standard LLMs that rely purely on text prompts, GLM-5V-Turbo natively ingests design drafts, screenshots, videos, and UI layouts to generate fully runnable code.
OpenAI Acquires Tech-Industry Talk Show TBPN from John Coogan. . TBPN will remain editorially independent, retaining control over programming, guest selection, and production, while winding down its advertising business. The TBPN team will join OpenAI's strategy organization to assist with global communications, marketing, and encouraging constructive conversations about AI.
Cursor 3 launched which introduces the Agents Window, where multiple agents run in parallel across local machines, remote SSH, or cloud setups, handling coding tasks and producing editable diffs with full editor support.
Google launches Gemma 4 with permissive Apache 2.0 license and SOTA performance for their size
Microsoft launches in-house AI models MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2, built by its superintelligence team, as it pursues “AI self-sufficiency”
Introducing GLM-5V-Turbo: Vision Coding Model
- Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts.
- Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for
TBPN has been acquired by OpenAI!
The show is staying the same and we’ll continue to go live at 11am pacific every weekday.
This is a full circle moment for me as I’ve worked with @sama for well over a decade. He funded my first company in 2013. Then helped us fix a serious
[Meet the new Cursor · Cursor \ \ Cursor 3 is a unified workspace for building software with agents.\ \ https://cursor.com\\ \
Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices.
Here’s what Gemma 4 unlocks for developers:
— Intelligence-per-parameter:
Three models. Three top-tier results. All shipped within just a few months by the @MicrosoftAI team.
- MAI-Transcribe-1 dropped today, the most accurate transcription model in the world across 25 languages according to FLEURS WER benchmark.
- MAI-Voice-1 sets a new standard for
Saturday 4th April 2026
via Boris Cherny , creator of Claude Code
===
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw.
You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw.
You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
photorealistic-realistic architectural rendering of a modern futuristic multiple house within concrete giant blocks and greenery and tall rounded windows with minimalist interior, foggy city location, stylish, generative design, cinematic lighting, micro unreal engine 5 effects, 8K sharp focus qualities
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 13-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-13-2026 KvAs6pIhJQwEvi4b7PgSSun, 29 Mar 2026 01:14:38 GMTDreamer which launched just a month ago by Hugo Barra and David Singleton got execu-hired by Meta and joined Meta's Superintelligence Labs. I'm also very piqued by Littlebird with its 'agent-on-a-shoulder' approach via 'screen reading'.
Whilst Anthropic definitely impacted its fans by tightening Claude's usage during peak hours, both OpenAI and Zhipu responding with increased rate limits and in the case of Zhipu launch of GLM-5.1 exclusively for now via its coding plan and showing via its benchmarks much improved numbers relative to GLM-5 and even approaching Opus 4.6
I had some issues using the table feature of Paragraph whilst creating this week's newsletter so layout will be different compared to previous weeks
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 22nd Mar 2026 to Saturday 28th Mar 2026
Sunday 22nd March 2026
Supermemory introduced ASMR—Agentic Search and Memory Retrieval—an experimental in-memory system using parallel AI agents that scored 98.6% on LongMemEval-s, crushing prior results like their own 85% and rivals' lower marks. It skips vector databases entirely, with observer agents extracting knowledge from long chat histories and specialized search agents handling queries on facts, context, and timelines. Founder Dhravya Shah shared the breakthrough, planning to open-source the code soon, while excitement builds alongside concerns over high compute costs for real-world scaling.
So cool: Supermemory 99% on Sota Memory!
•Achieved ~99% on LongMemEval_s using experimental ASMR (Agentic Search and Memory Retrieval) technique.
•Replaced vector search and embeddings with parallel observer agents extracting structured knowledge across six vectors from raw
OpenAI Releases GPT-5.4 with Frontend Design Skills and Prompting Playbook
OpenAI released the GPT-5.4 model featuring new frontend design capabilities, including skills like frontend-skill and design-exploration. The release includes a prompting playbook to improve frontend outputs. An OpenAI blog post highlights better frontend results using low or medium reasoning settings.
[Designing delightful frontends with GPT-5.4 | OpenAI Developers \ \ Practical techniques for steering GPT-5.4 toward polished, production-ready frontend designs.\ \ https://developers.openai.com\\ \
Monday 23rd March 2026
Tuesday 24th March 2026
Meta acqui-hires Hugo Barra's/David Singleton's dreamer.com
Excited to announce that @hbarra , @alcor and I are joining Meta Superintelligence Labs with the entire @Dreamer team today.
The last few months have been extraordinary: we built Dreamer, put the beta in the world just a month ago, and saw magic come to life for real people.
@dps, @alcor and I -- along with the entire @Dreamer team -- are joining Meta Superintelligence Labs today!
The idea behind Dreamer is simple: every person should have the power to create software that makes their lives better.
We're excited to make this happen for billions of
The last few months have been extraordinary: we built Dreamer, put the beta in the world just a month ago, and saw magic come to life for real people.
Littlebird definitely has my 'must-try-out' interest given that it has S-Tier folks such as Gokul Rajaram and Lenny amongst its angel investors
Littlebird raises $11M for its AI-assisted ‘recall’ tool that reads your computer screen
Currently MacOS only, According to a message to me from founder Alexander Green, it's coming to Android soon but this approach (screenreading) is not possible on iOS given Apple's platform limitations.
I've spent my career building products that reduce friction for users. @LittlebirdAI does something I've rarely seen. It eliminates an entire category of friction: the overhead of remembering, retrieving, and re-explaining your own work. I use it every day.
Excited to support
This is a the future
"Littlebird is a desktop app that remembers everything you’ve been working on – meetings, messages, docs, browsing - and helps you stay focused, prioritize, recall, and move projects forward. It uses screen reading to understand all the text on screen, for
[Littlebird raises $11M for its AI-assisted 'recall' tool that reads your computer screen | TechCrunch \ \ Littlebird is building an AI that reads your screen in real time to capture context, answer questions, and automate tasks, without relying on screenshots.\ \ https://techcrunch.com\\ \
via Alex
Famous german lawyer Dr. Jun talking about automated copyright infringements when using AI coding. His argument: AI code without human process & architecture work is not a greenfield implementation and thus a copyright infringement.
Especially because models are known to ignore licenses (e.g. GPL) and reissue the verbatim code under MIT
By the way this is the Chardet case referenced in the talk
[Chardet dispute shows how AI will kill software licensing \ \ Alarm bells are ringing in the open source community, but commercial licensing is also at risk\ \ https://www.theregister.com\\ \
via Robby Yung
Today, we’re releasing a feature that allows Claude to control your computer: Mouse, keyboard, and screen, giving it the ability to use any app.
I believe this is especially useful if used with Dispatch, which allows you to remotely control Claude on your computer while you’re
Introducing the MiniMax Token Plan: First All-Modality API Subscription
Flat-rate API access to MiniMax's leading text, speech, music, video, and image models.
Introducing the MiniMax Token Plan: First All-Modality API Subscription
Flat-rate API access to MiniMax's leading text, speech, music, video, and image models.
Stop juggling multiple unpredictable bills for different modalities.
One key. One predictable bill. All modalities.
Every major image model for the last three years has worked the same way: start with static, remove noise until a picture appears. Diffusion. Midjourney, Stable Diffusion, DALL-E, Imagen. All variations on the same idea.
Uni-1 doesn’t use diffusion. It generates images token by token, the same autoregressive architecture that powers GPT and Claude for text. One model that processes the prompt and produces the image in a single pass.
Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.
Wednesday 25th March 2026
via Yat Siu
not sure if this is the right forum but for people living in HK this remains a concern
1/ @Google you say will be rolling out the Gemini suite now but offering the chatbot experience today is so 2023. Would appreciate if you can provide clarity when tools like Google AI Studio, Gemini API, Labs etc. actually become available here (without VPN). Speaking as a
Reply by Yusuf
Whilst its preferrable that group members don't delve too much into the realm of geopolitics since that will very likely open up a Pandora's box of opinion and in the end its the right of an organisation/nation-state to decide whom they want to do business with. I've mentioned the challenges faced by consumers and developers in Hong Kong in the Notion page of mine which is part of my AI/ML Resource Hub
via Daniel Luca
I just published this
Thursday 26th March 2026
Friday 27th March 2026
via Robby Yung
Anthropic Tightens Claude AI Limits During Peak Hours Amid Surging Demand
Anthropic has adjusted its Claude AI to deplete session limits quicker on weekdays from 5 a.m. to 11 a.m. PT, affecting free, Pro, and Max users while keeping weekly totals the same. Thariq from Anthropic explained the change distributes usage more evenly and noted efficiency gains to soften the blow, though about 7% of users, especially Pro coders, face new hurdles with token-heavy work like extended coding sessions. OpenAI responded by promoting its Codex tool with temporary higher limits, as power users vent about quick caps and some even cancel plans.
To manage growing demand for Claude we're adjusting our 5 hour session limits for free/Pro/Max subs during peak hours. Your weekly limits remain unchanged.
During weekdays between 5am–11am PT / 1pm–7pm GMT, you'll move through your 5-hour session limits faster than before.
meanwhile, you can enjoy Codex with 2x rate limits for the next week 24x7 across all ChatGPT subscriptions!
npm i -g @openai/codex
time to build is NOW!!
To manage growing demand for Claude we're adjusting our 5 hour session limits for free/Pro/Max subs during peak hours. Your weekly limits remain unchanged.
During weekdays between 5am–11am PT / 1pm–7pm GMT, you'll move through your 5-hour session limits faster than before.
Cohere Transcribe Tops Open ASR Leaderboard with New Speech Model
The 2-billion-parameter Cohere Transcribe, achieved a top average word error rate of 5.42% across English benchmarks, beating Whisper Large v3's 7.44% and others. It excels in human preference tests at 61% win rate for handling accents, noise, and multiple speakers, while processing audio up to three times faster. Supporting 14 languages from English to Korean under an Apache 2.0 license, it runs on consumer GPUs and powers enterprise tools—coinciding with Mistral's Voxtral TTS launch for a big step in open voice AI.
Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.
Saturday 28th March 2026
GLM-5.1 available with benchmarks from Zhipu showing much improved coding performance relative to GLM-5 but currently only via Coding Plan.
From the ZAI Discord
The current model is still in the preview version. We will continue to optimize it based on everyone's feedback, so we haven't open-sourced it for now. We plan to open-source the model and launch the official full version around April 6th or April 7th.
GLM-5.1 is available to ALL GLM Coding Plan users!
finally glm-5.1
at the very beginning we were teaching models how to write code, basically training a system that could imitate developers. back then AI lived inside the IDE as an intelligent assistant, but we were still the main driver. that was the copilot era of AI coding.
GLM-5.1 is available to ALL GLM Coding Plan users!
The lost city of Atlantis during a foggy morning, with a moderately chaotic ocean. Mist swirls around the tall, ancient architectures. Various sealife, including curious sharks, schools of fish, and diverse coral, are partially obscured. Octane render, Unreal Engine 5, 8k, detailed.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 12-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-12-2026 xSGHeO9cW9g5DQ4z6peISun, 22 Mar 2026 00:13:08 GMTThe pace at which LLM's are being refreshed is insane. Week 12 had OpenAI's GPT-5.4-mini, Minimax-2.7 which helped design and optimize its own training and evaluation harnesses. Cursor's Composer-2 which itself was built on top of Kimi-K2.5. Anthropic has also been on a roll with its shipping velocity on Claude Cowork as well as Claude Code.
Other interesting things were Fal's release of its MCP server and Packy McCormick's and Pim de Witte's 19K word article on World models.
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 15th Mar 2026 to Saturday 21st Mar 2026
Sunday 15th March 2026
| 1 | via Yat Siu MiroFish: The God View Engine A developer in China built an AI engine that generates thousands of digital humans - each with their own personality, memory, and behavior - drops them into a virtual world, and watches them predict the future. BuBBliK @k1rallik x.com/i/article/2032… 3,539 11:11 PM • Mar 14, 2026 Response from Jing This is super cool Wrote a summary for it here cookies (🍪,🍪) | 饼妹 @jinglingcookies this is actually insane, one undergrad just vibe-built a future-predicting sim engine solo > be 20-year-old undergrad in China > obsessed with AI agents and graph computing > build BettaFish, a multi-agent opinion analyzer > goes viral > hits #1 GitHub trending, 20k GitHub BuBBliK @k1rallik x.com/i/article/2032… 144 5:05 AM • Mar 15, 2026 |
| 2 | Off-peak hours for Anthropic seem to coincide with Asia daylight hours. 2x worth of usage on various Claude services for the next 2 weeks. Maybe future pricing of models will also be time-based Aakash Gupta @aakashgupta This two-week promo tells you more about AI infrastructure economics than any earnings call this quarter. Anthropic hit $19 billion in annualized revenue as of early March. They raised $30 billion at a $380 billion valuation five weeks ago. Claude Code alone crossed $2.5 billion Claude @claudeai A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks. 257 12:05 PM • Mar 15, 2026 |
Monday 16th March 2026
| 1 | via Robby Yung Christos Tzamos @ChristosTzamos 1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers. We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy 5,939 5:30 AM • Mar 12, 2026 Reply via Alex I dont get this "in model execution" just feels like the wrong direction. Why delegate to a stochastical model what a deterministic algorithm can solve infinitely more efficiently? The author managed to get a model to solve a sudoko in 3 minutes by burning >9m tokens, while it is trivially easy to write an algorithm that brute forces a sudoku in a fraction of a second. lol |
| 2 | Some members of this group may be aware that I curate a Notion page named 'AI/ML Resource Hub' though many a times I've thought of just removing it given how powerful answer engines have become. There is still some opinionated curation which may not resonate with everyone Recently whilst sampling friends/colleagues/acquaintainces on how they were providing context to their coding harness and researching some new tooling, I wrote the following new sub-page and incorporated that into the hub. Feedback greatly appreciated [Public: Nia versus Context7 | Notion <br><br>Background about Nia via this tweet thread which first came to my attention as an alternative to Context7<br><br>https://yusuf-goolamabbas-53.notion.site\ <br> |
| 3 | via Tim Happy to share this big x402/agent update courtest the Agent0 SDK team: Tim Cotten @CottenIO This is incredibly important. This is OUR tool for the agent economy. Agent0 SDK was built by members of the same team, like @marco_derossi, who led the ERC-8004 standard working group. As of this morning it brings native support for x402 payments into the same package that agent0 Lab @agent0lab Your agent just got an identity, a voice, and a wallet in one SDK. 8004 for identity. A2A for communication. x402 for payments. Live now on agent0 SDK. Here's how it works ↓ 22 9:46 PM • Mar 16, 2026 |
Tuesday 17th March 2026
Wednesday 18th March 2026
| 1 | OpenAI launches GPT-5.4 mini and nano, aimed at agents, coding, and multi-modal workflows, and offering near GPT-5.4-level performance at a much lower cost OpenAI Developers @OpenAIDevs We’re introducing GPT-5.4 mini and nano, our most capable small models yet. GPT-5.4 mini is more than 2x faster than GPT-5 mini. Optimized for coding, computer use, multimodal understanding, and subagents. For lighter-weight tasks, GPT-5.4 nano is our smallest and cheapest 6,486 1:09 AM • Mar 18, 2026 OpenRouter @OpenRouter The new @OpenAI GPT-5.4 mini and nano are available now on OpenRouter! In our early testing, mini’s increase in speed was useful for staying in the loop for coding agents, and results in better UX for chat apps that allow the models to perform agent tasks mid conversation. 278 2:15 AM • Mar 18, 2026 [GPT-5.4 mini and GPT-5.4 nano, which can describe 76,000 photos for $52 <br><br>OpenAI today: Introducing GPT‑5.4 mini and nano. These models join GPT-5.4 which was released two weeks ago. OpenAI's self-reported benchmarks show the new 5.4-nano out-performing their previous GPT-5 mini model ...<br><br>https://simonwillison.net\ <br> |
| 2 | Gokul Rajaram(the godfather of AdSense) in his podcast with Harry Stebbings of 20VC fame breaks down the 8 defensible moats you need for your company to be successful in a world of AI. 1. Data (Proprietary and inaccessible) 2. Workflow (Deeply embedded operations) 3. Regulatory (Licenses and contracts) 4. Distribution (Exclusive proprietary channels) 5. Ecosystem (Third-party platform reliance) 6. Network (Marketplace liquidity density) 7. Physical (Infrastructure and atoms) 8. Scale (Low cost through volume) |
| 3 | Minimax-2.7 released The Shanghai-based MiniMax lab released MiniMax-M2.7 via API, excelling on benchmarks like 56.22% on SWE-Pro for software engineering and leading open-source models at 1,495 ELO on GDPval-AA. It handles a 204,800-token context, outputs at 60-100 tokens per second, and starts at $0.3 per million input tokens, making advanced agent tasks accessible. [MiniMax M2.7: Early Echoes of Self-Evolution <br><br>In the months following the first release of our M2-series models, we received a large volume of feedback and suggestions from enthusiastic users and developers, which drove us to further accelerate the efficiency of our model iterations. With human productivity already fully unleashed, the natural next step was to initiate self-evolution of both the model and the organization.<br><br>https://www.minimax.io\ <br> |
| 4 | Anthropic rolled out Dispatch in its Claude Cowork desktop app, letting users pair their phone with a persistent AI session on their computer to handle jobs like file analysis or Slack searches while away. It starts as a research preview for Max subscribers, with Pro access coming soon, and runs securely in a sandbox after user approval. The feature rivals open-source tools like OpenClaw by offering easy, local automation without maintenance hassles or security risks, as noted by users like Ethan Mollick who say it covers most of what they needed. Felix Rieseberg @felixrieseberg We're shipping a new feature in Claude Cowork as a research preview that I'm excited about: Dispatch! One persistent conversation with Claude that runs on your computer. Message it from your phone. Come back to finished work. To try it out, download Claude Desktop, then pair 17.3K 4:35 AM • Mar 18, 2026 Ethan Mollick @emollick After using it a bit, Claude Cowork Dispatch covers 90% of what I was trying to use OpenClaw for, but feels far less likely to upload my entire drive to a malware site. 5,910 8:41 AM • Mar 18, 2026 |
Thursday 19th March 2026
Astral to join OpenAI
OpenAI says it will buy the startup Astral, as the AI giant goes after the gorwing market for AI developer tools
We've reached an agreement to acquire Astral.
After we close, OpenAI plans for @astral_sh to join our Codex team, with a continued focus on building great tools and advancing the shared mission of making developers more productive.
\ \ openai.com OpenAI to acquire Astral \ \ Accelerates Codex growth to power the next generation of Python developer tools](https://t.co/V0rDo0G8h9)
[Astral to join OpenAI \ \ Astral has entered into an agreement to join OpenAI as part of the Codex team.\ \ https://astral.sh\\ \
Friday 20th March 2026
| 1 | Fal MCP Server is live Connect Claude, Cursor, or any AI assistant to 1,000+ generative AI models. Search models, generate images, create videos, check doc, create app : from a conversation. [Connect your AI to 1,000+ models with the fal MCP Server <br><br>Today we're launching the fal MCP Server - a hosted endpoint that lets any AI assistant search, run, and chain 1,000+ generative AI models directly from a conversation. One command. No SDK. No docs to read. What is it? The Model Context Protocol (MCP) is an open standard that lets<br><br>https://blog.fal.ai\ <br> |
| 2 | Composer 2 is now live in Cursor, pairing frontier-level coding benchmarks with standout pricing: $0.50 per million input tokens and $2.50 per million output tokens. Cursor reports major jumps over prior versions across CursorBench (61.3), Terminal-Bench 2.0 (61.7), and SWE-bench Multilingual (73.7), making this a notably very very strong price-performance launch for coding AI Cursor @cursor_ai Composer 2 is now available in Cursor. 9,436 12:30 AM • Mar 20, 2026 [Introducing Composer 2 · Cursor <br><br>Frontier-level coding with strong CursorBench results, higher token efficiency, and a faster default variant.<br><br>https://cursor.com\ <br> |
| 3 | via Packy McCormick of the NotBoring newsletter [260K+ subscribers] There is a tremendous amount of progress happening in World Models. Multiple labs have raised more than $1B. WMs were the star of GTC. They are a real path to embodied AI. So Pim de Witte [of General Intuition fame which raised a seed round of $133.7 million] & I wrote a comprehensive 19k word overview of World Models. [World Models: Computing the Uncomputable <br><br>A Co-Written Essay with General Intuition's Pim DeWitte<br><br>https://www.notboring.co\ <br> |
| 4 | OpenCode Removes Claude Max Plugin After Anthropic Legal Requests OpenCode, a flexible open-source AI coding tool that works in terminals and IDEs, will drop its Claude Max plugin in the upcoming 1.3.0 release following legal requests from Anthropic. The company prohibits routing consumer subscriptions like Claude Max—priced around $200 monthly—through third-party apps, enforcing this since January 2026 with errors and suspensions. Users can still access Claude models via official API keys or platforms like Amazon Bedrock, while OpenCode supports over 75 providers including OpenAI and Google Gemini. dax @thdxr opencode 1.3.0 will no longer autoload the claude max plugin we did our best to convince anthropic to support developer choice but they sent lawyers it's your right to access services however you wish but it is also their right to block whoever they want we can't maintain an 8,354 4:33 AM • Mar 20, 2026 |
Saturday 21st March 2026
| 1 | via Robby Yung 𝙋𝙖𝙨𝙨𝙡𝙪𝙤 @passluo Ladies and 乡亲们, Let's welcome the world's first Claw running on Nintendo Switch The Childless Cat Lady Tutorial will arrive tomorrow 139 10:29 PM • Mar 20, 2026 |
| 2 | In a Claude blog post, Anthropic product leader Cat Wu details four key changes for PMs facing fast-evolving AI: short 'side quest' sprints, demos over documents, revisiting features after each model update, and embracing simplicity to avoid failures. Her Claude Code team turned quick prototypes—like desktop support and todo lists—into launches after positive internal feedback, while evals now measure model performance. External PMs from Google, Microsoft, and others echo the gains, noting specs are evolving into the product itself as roles blur in collaborative workflows. cat @_catwu The PM playbook was built on an assumption that the technology underneath your product is roughly stable With the current pace of model progress, this is no longer true. Here's how we've evolved the PM role: 1,037 5:21 AM • Mar 21, 2026 Shubham Saboo @Saboo_Shubham_ Loved this. Wrote about the changing PM skillset a few months ago before I started running my OpenClaw Agent team. Since then it moved from building with agents to managing agents with personalities and roles. So build the team that builds for you. x.com/Saboo_Shubham_… Shubham Saboo @Saboo_Shubham_ x.com/i/article/2008… 16 8:09 AM • Mar 21, 2026 George from 🕹prodmgmt.world @nurijanian how Anthopic is changing the PM role to be fair, we have always wanted it to be a Venn diagram, but the reality was almost always a waterfall I will talk about this in my next newsletter; seeing how some AI-skilled lead designers are starting to drive what PMs would drive cat @_catwu The PM playbook was built on an assumption that the technology underneath your product is roughly stable With the current pace of model progress, this is no longer true. Here's how we've evolved the PM role: 55 6:14 AM • Mar 21, 2026 |
The cover image of this newsletter via generated via the Nano Banana 2 model within the Freepik tool via the following prompt
A serene coastal vista at noon, showcasing islands with imposing, densely green mountains against a teal sky. No clouds are present. The sun is a brilliant white, positioned directly overhead, creating a high-contrast scene.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 11-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-11-2026 NkCNnXSmwCP5wYIf82sMSun, 15 Mar 2026 04:27:18 GMTInteresting news this week included Codewall's whitehat hack and responsible disclosure of vulnerabilities in McKinsey's AI platform. Openclaw's rise in China driven by firms offering hosted solution as well as China’s cybersecurity authorities are restricting OpenClaw usage in banks, SOEs, and government
Lots of coding agents news with Agent 4 from Replit, OB-1 emerging as a “self-improving” coding agent with top Terminal Bench scores as well as comments from Elon Musk that xAI acknowledges that it is behind in coding but has a plan to be SOTA by H1 2026
Nvidia's Nemotron 3 Super with its hybrid Mamba–Transformer MoE design targets agentic systems with 1M-token context, strong reasoning and coding benchmarks,
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 8th Mar 2026 to Saturday 14th Mar 2026
Sunday 8th March 2026
How Cursor is evolving through its Composer coding models built on Chinese open models, as coding agents like Claude Code threaten to make code editors obsolete
[Cursor Goes To War For AI Coding Dominance \ \ After becoming the hottest, fastest growing AI coding company, Cursor is confronting a new reality: developers may no longer need a code editor at all.\ \ https://www.forbes.com\\ \
Monday 9th March 2026
| 1 | via Ben Jammin One of the craziest things I’ve ever seen “Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do.” Hattie Zhou @oh_that_hat There's a fruit fly walking around right now that was never born. @eonsys just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies 25.7K 4:42 AM • Mar 8, 2026 Reply by Alex This specific process is not peer reviewed (and an ad for a for-profit company) and I would take it with a grain of salt The original paper the video is based on was published 2 years ago describes an elaborate process in which input neuron had to be mapped to wanted output. It is not as simple as copy/paste a neural network [A Drosophila computational brain model reveals sensorimotor processing - Nature <br><br>The recent assembly of the adult Drosophila melanogaster central brain connectome, containing more than 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain1,2. Here we create a leaky integrate-and-fire computational model of the entire Drosophila brain, on the basis of neural connectivity and neurotransmitter identity3, to study circuit properties of feeding and grooming behaviours.<br><br>https://www.nature.com\ <br> Still super interesting as it uses a direct simulation of a fixed biological structure, but it was still a trial an error approach in which only 1% of simulation cases resulted in meaningful downstream neuron activation (e.g. sense sugar = move body to sugar) |
| 2 | via Valerii Anufriev Composio agent orchestrator, framework-agnostic [GitHub - ComposioHQ/agent-orchestrator: Agentic orchestrator for parallel coding agents - plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. <br><br>Agentic orchestrator for parallel coding agents - plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. - ComposioHQ/agent-orchestrator<br><br>https://github.com\ <br> |
Tuesday 10th March 2026
| 1 | via Robby Yung Introducing ERC-8183: The Commerce Layer for AI Agents Virtuals Protocol @virtuals_io x.com/i/article/2030… 1,512 12:20 AM • Mar 10, 2026 |
| 2 | Came across this tool, It's github blurb says the following > GEO-first, SEO-supported. Optimize websites for AI-powered search engines > > (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. > > AI search is eating traditional search. This tool optimizes for where traffic is going, not where it was. → Runs full GEO audits with parallel subagents → Delivers 60-second visibility snapshots → Analyzes structured schema markup for LLMs → Exports complete PDF reports 100% Open-Source. [GitHub - zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website - citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community <br><br>GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website - citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community - zubair-trabzada/geo-seo-claude<br><br>https://github.com\ <br> |
| 3 | via James Chan Has anyone seen the CLI terminal tool called Warp? It is definitely very convenient https://www.warp.dev Reply by Yusuf For what it's worth, I like Droid from Factory.AI. Good results on terminal-bench . Multi-model support with day-0 or early support of new models. Excellent context management so my token budget went longer Why not Claude or Codex ? This is more a function of geopolitics impacting access to many AI tools/services in Hong Kong so I tend to look for products which are much more accessible and don't need a lot of privilege to access Warp I felt that I had to buy-in to their terminal but acknowlege that it has its base Droid felt like a pure harness and I want to separate surface aka IDE to harness to models and it supports many of Claude Code features such as skills, sub-agents, MCP, hooks, plugins so its easy migration or even possible for an org/repo to support different team members who used different harnesses |
| Aakash Gupta's take on Claude Code Review, small snippet from his tweet ====== Anthropic created the flood and is now selling the levee. Claude Code grew engineer code output 200% year over year. More code means more PRs. More PRs means more review bottleneck. More bottleneck means more demand for Code Review at $15-25 per pop. This is a self-reinforcing revenue loop built into the product architecture. The better Claude Code gets at writing code, the more Code Review revenue scale Aakash Gupta @aakashgupta Anthropic created the flood and is now selling the levee. Claude Code grew engineer code output 200% year over year. More code means more PRs. More PRs means more review bottleneck. More bottleneck means more demand for Code Review at $15-25 per pop. This is a self-reinforcing Claude @claudeai Introducing Code Review, a new feature for Claude Code. When a PR opens, Claude dispatches a team of agents to hunt for bugs. 104 11:59 AM • Mar 10, 2026 |
|
| 4 | Yann LeCun's Advanced Machine Intelligence Labs raised a $1.03B seed at a $3.5B pre-money valuation to work on world models, in Europe's largest-ever seed round Yann LeCun @ylecun Unveiling our new startup Advanced Machine Intelligence (AMI Labs). We just completed our seed round: $1.03B / 890M€, one the largest seeds ever, probably the largest for a European company. We're hiring! [the background image is the Veil Nebula - a picture I took from my AMI Labs @amilabs Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally 19.3K 3:19 PM • Mar 10, 2026 |
| 5 | Chinese AI Companies Zhipu, Tencent, Moonshot, MiniMax, Alibaba, and ByteDance Launch OpenClaw-Based AI Agent Products Major Chinese tech firms Zhipu, Tencent, Moonshot, MiniMax, Alibaba, and ByteDance released AI agent products built on the open-source OpenClaw framework, including Zhipu's AutoClaw, Tencent's WorkBuddy, Moonshot's KimiClaw, MiniMax's MaxClaw, Alibaba's CoPaw, and ByteDance's ArkClaw. Chinese cities Shenzhen, Wuxi, and Hefei are promoting OpenClaw through workshops, public installations, and subsidies up to RMB 10 million for startups. Poe Zhao @poezhao0605 Zhipu launched AutoClaw today. Stock jumped 13%. That makes the list: Moonshot's KimiClaw, MiniMax's MaxClaw, Alibaba's CoPaw, ByteDance's ArkClaw, Tencent's WorkBuddy, and now Zhipu's AutoClaw. Every major Chinese AI company has built a product around one open-source project <br><br>hellochinatech.com OpenClaw Did Not Just Go Viral in China, It Solved a Structural Problem. <br><br>Cloud vendors, LLM startups, and device makers all raced to embrace it. Each had a different reason.](https://t.co/xT9mnpHSxG) 1,021 10:58 AM • Mar 10, 2026 https://www.bloomberg.com/news/articles/2026-03-10/tencent-zhipu-shares-jump-on-launches-of-ai-agents-tapping-into-openclaw |
| 6 | Nvidia is pitching NemoClaw, an upcoming open-source AI agent platform for enterprises, and plans to offer security and privacy tools for it [Nvidia Is Planning to Launch an Open-Source AI Agent Platform <br><br>Ahead of its annual developer conference, Nvidia is readying a new approach to software that embraces AI agents similar to OpenClaw.<br><br>https://www.wired.com\ <br> |
| \ |
Wednesday 11th March 2026\
| | |
| --- | --- |
| 1 | via Ben Jammin
Amazon calls engineers for a “deep dive” internal meeting to discuss “GenAI”-related outages
[Amazon calls engineers for a "deep dive" internal meeting to discuss "GenAI"-related outages <br><br>Recent AI-assisted coding errors have caused multiple Amazon website and app outages, prompting new safeguards and review processes.<br><br>https://thenewstack.io\
<br> |
| 2 | via Ben Jammin
If you use Telegram for your AI Agents (and especially OpenClaw), I created a tool that gives it actual memory called Telecrawl
Telegram doesn't have this by default. It's based off of Peter from OpenClaw's Discrawl for Discord.
It's Opensource so anyone can use it
Builds By Ben
@BuildsByBen
Does your OpenClaw bot on Telegram forget everything between sessions?
Telegram's bot system literally can't read message history.
Not because it's broken. Bots only see messages the moment they arrive. Session ends, memory gone.
Peter Steinberger @steipete built discrawl
9 2:46 AM • Mar 11, 2026 |
| 3 | via Fazri Zubair
It’s been an interesting time in software engineering lately. The changes happening in our field have me genuinely excited, so I decided to put a few thoughts together in a short essay. Hope you enjoy the read.
[From Software Architect to Agentic Engineer: How AI Is Reshaping Software Development <br><br>The Craft I Entered I started my engineering career about fifteen years ago at a small company called Collision Studios in Santa Monica. Before that, I was working in finance and building applications on the side.<br><br>https://www.linkedin.com\
<br> |
| 4 | via Coop
I have found A2A to be less superior to ACP, which the adoption in the last few weeks has been nuts.
Can literally integrate the superpowers cursor into your agent now, with or without people knowing:
[Overview - Agent Client Protocol <br><br>How the Agent Client Protocol works<br><br>https://agentclientprotocol.com\
<br> |
| 5 | via Alex
A good read of an MIT research on the 11 reasons agents fail
[Agents of Chaos <br><br>We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord access, file systems, and shell execution. Over a two-week period, twenty AI researchers interacted with the agents under benign and adversarial conditions.<br><br>https://arxiv.org\
<br> |
| 6 | China Restricts OpenClaw AI Use in Banks, State Firms, and Government Agencies Over Security Concerns
Chinese authorities, including the national cybersecurity agency CNCERT, issued a security advisory and restrictions on OpenClaw AI for banks, state-owned enterprises, and government bodies due to risks such as prompt injection attacks, malicious plugins, weak default configurations, and potential system control by attackers. The measures aim to curb usage on office computers amid the tool's rapid proliferation in China, including adoption by local governments like Shenzhen and Wuxi. Secondhand platforms have emerged offering OpenClaw removal services driven by security worries and costs.
https://www.bloomberg.com/news/articles/2026-03-11/china-moves-to-limit-use-of-openclaw-ai-at-banks-government-agencies |
| 7 | For the legal eagles in the group, some commentary on Legora's $550M Series D led by Accel at a $5.55B val
Separately , A lawyer friend of mine recently sent me the following message
> Harvey is sending out auto responses to people who sign up to reach sales messages that unless you plan to spend USD 50k (I assume that's per year) with them minimum you should go and talk to their competitors
Aakash Gupta
@aakashgupta
Legal just became the fastest-moving AI vertical in enterprise software, and there’s still plenty more room to grow.
Legora went from $3M to $70M in revenue in a single year. 23x growth. $7M added in a single day in December. Valuation tripled from $1.8B to $5.55B in five
JC Bahr-de Stefano
@jbahrdestefano
Sheesh @WeAreLegora just raised a $550M Series D led by @Accel at a $5.55B val
Legora is a legal AI platform that helps lawyers review documents, conduct research, + draft contracts. Rather than asking firms to adopt a new standalone tool, they've embedded directly into the
51 1:20 PM • Mar 11, 2026
PS, If you are a redditor then /r/legaltech is where you want to hang out though it may be very US law/law-firm centric |
\
Thursday 12th March 2026\
| | |
| --- | --- |
| 1 | NVIDIA Launches Nemotron 3 Super for Agentic AI Systems
This hybrid mixture-of-experts model uses just 12 billion active parameters, blending Mamba for long sequences and Transformers for precise recall, supporting a native 1-million-token context window ideal for entire codebases or workflows. It excels in benchmarks like 85.6% on PinchBench for coding agents and 91.75% on long-context tasks, while multi-token prediction speeds generation up to three times on Blackwell GPUs. Early adopters including Perplexity, CodeRabbitAI, and enterprises like Palantir and Siemens are integrating it for search, coding, cybersecurity, and design, with easy access via Ollama, Hugging Face, and serverless platforms.
Bryan Catanzaro
@ctnzr
Announcing NVIDIA Nemotron 3 Super!
120B-12A Hybrid SSM Latent MoE, designed for Blackwell
36 on AAIndex v4
up to 2.2X faster than GPT-OSS-120B in FP4
Open data, open recipe, open weights
Models, Tech report, etc. here:
research.nvidia.com/labs/nemotron/…
And yes, Ultra is coming!
1,201 12:00 AM • Mar 12, 2026
NVIDIA
@nvidia
x.com/i/article/2031…
1,597 12:45 AM • Mar 12, 2026
Artificial Analysis
@ArtificialAnlys
NVIDIA has released Nemotron 3 Super, a 120B (12B active) open weights reasoning model that scores 36 on the Artificial Analysis Intelligence Index with a hybrid Mamba-Transformer MoE architecture
We were given access to this model ahead of launch and evaluated it across
475 12:12 AM • Mar 12, 2026
OpenRouter
@OpenRouter
NVIDIA Nemotron 3 Super is live on OpenRouter!
120B params, 12B active. Hybrid Mamba-Transformer MoE with highest throughput efficiency in its class.
1M context. Fully open weights, data, and recipes. Built for multi-agent systems that need to think fast.
381 12:16 AM • Mar 12, 2026 |
| 2 | Replit Agent v4 is a new AI-powered development environment designed to keep developers in creative flow by handling coordination, execution, and routine coding work across the full stack inside Replit. Strongly recommend watching the 8.25 launch video from CEO/co-founder Amjad Masad
Also, Replit just 3x’d its valuation in 6 months. $3B in September, $9B today.
Four main pillars
\* Design freely: Visual design and production code now live together, with an infinite canvas, multiple UI variants, precise visual controls, and direct application of chosen designs into the live app.
\* Move faster: Multiple agents can run tasks in parallel, automatically splitting big tasks and merging results safely, significantly speeding up backend, frontend, auth, and database work.
\* Ship anything: Within one project, Agent 4 can build web and mobile apps, data apps, decks, animations, and more, all sharing the same context and design language.
\* Build together: A task-based workflow lets teams submit many design and build requests at once, track them as discrete tasks, and approve merges, reducing chat-thread micromanagement.
Amjad Masad
@amasad
Software isn’t merely technical work anymore. It’s creative.
Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents.
Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.
6,192 11:32 PM • Mar 11, 2026
[Replit - Introducing Replit Agent 4: Built for Creativity | Blog <br><br>Introducing Agent 4 - our fastest, most versatile Agent yet. It's built around a simple idea: you should spend your time creating, not coordinating. Agent 4 takes on the tedious-but-necessary work in the background so you can stay in creative flow and ship production-ready software 10x faster.<br><br>https://blog.replit.com\
<br>
[Replit Agent 4 Is Here: Plan, Design, and Build a Habit Tracking App with Multiple AI Agents <br><br>A hands-on tutorial for building a habit tracking app with an infinite canvas and parallel agents (plus why I think code is the foundation of all knowledge work)<br><br>https://creatoreconomy.so\
<br>
Amjad Masad
@amasad
We’ve raised $400M at a $9B valuation.
Investors include Georgian, G Squared, Prysm, 1789, YC, Coatue, a16z, Craft, and QIA, with strategic investments from Accenture, Databricks, Okta, and Tether. We’re also lucky to have incredible individuals backing us, including Shaq and
8,307 12:51 AM • Mar 12, 2026 |
| 3 | via Alex
[How We Hacked McKinsey's AI Platform <br><br>An autonomous AI agent found a SQL injection in McKinsey's Lilli AI platform. What it extracted was worse than we expected.<br><br>https://codewall.ai\
<br> |
| 4 | This X thread summarises various announcements made at Ask, the Perplexity Developer Conference including Personal Computer, their API platform which comprises of 4 API's. |
| 5 | via Dima Kuchin
would love your feedback on my latest project - AI frameworks syntax/pattern comparison:
Agent Party <br><br>Side-by-side comparison of AI agent framework syntax across OpenAI, Anthropic, Gemini, Pydantic AI, LangGraph, Mastra, and AI SDK<br><br>https://agent-party.fkey.dev |
| 6 | via Ben Jammin
Hey yall, I just launched a product on Product Hunt and would appreciate any help I could get.
Retell.Video turns any YouTube, TikTok, Twitter/X, or Instagram video into 40+ formats. Social posts, whiteboards, infographics, podcasts, and more.
[Retell <br><br>Retell turns any YouTube, TikTok, Twitter/X, or Instagram video into 40+ formats with one click. Paste a link, get social posts, whiteboards, infographics, cheat sheets, AI podcasts, handwritten notes, comic strips, newsletters, and more. No other tool produces visual outputs like whiteboards and infographics directly from a video URL.<br><br>https://www.producthunt.com\
<br> |
\
Friday 13th March 2026\
| | |
| --- | --- |
| 1 | It's raining Coding Agents news this week
=====
Elon laying down the gauntlet that Grok will be a player in the coding model space by the middle of the year
I, for one, look forward to our new coding overlords
> ELON MUSK: "Grok is currently behind in coding. The reason I was late for this was that I was just in a giant sort of all hands on coding, going through all the things that need to happen to essentially exceed our competitors on coding, which I think we'll do. I feel we should probably get there by the middle of this year."
Riding on the above xAI hires senior Cursor leaders Andrew Milich and Jason Ginsberg. Also sharing Aakash Gupta's commentary on this hires
Andrew Milich
@milichab
I’m joining @SpaceX and @xai with @JasonBud.
X is the company realizing science fiction - reusable rockets, humanoid robots, data centers in space, and more. Almost 10 years ago, I joined SpaceX as an intern on Dragon 2 crew displays. This was in the era of the first rocket
8,319 3:28 AM • Mar 13, 2026
Jason Ginsberg
@JasonBud
I’m proud to be joining SpaceX and xAI with @milichab
It has become clear that software is changing fundamentally. More and more, people can shape the tools they use directly, and the ceiling of what can be built keeps rising.
What makes xAI special is the scale of its
8,156 3:28 AM • Mar 13, 2026
Aakash Gupta
@aakashgupta
Cursor is raising at a $50 billion valuation. Elon just pulled two of its product leaders into a $1.25 trillion company and told them to build xAI’s coding product. Both report directly to him.
Milich and Ginsberg ran engineering and product at the company that went from $0 to
Andrew Milich
@milichab
I’m joining @SpaceX and @xai with @JasonBud.
X is the company realizing science fiction - reusable rockets, humanoid robots, data centers in space, and more. Almost 10 years ago, I joined SpaceX as an intern on Dragon 2 crew displays. This was in the era of the first rocket
1,420 4:26 AM • Mar 13, 2026
OB-1 came out of stealth as a self-improving coding agent with super impressive Terminal Bench scores beating Droid, Codex, Claude Code
Founders are Daljeet Virdi and Tejpal Singh
OpenBlock
@openblocklabs
OB-1 is now available for general access!
#1 on Terminal Bench. The coding agent that built itself.
493 12:58 AM • Mar 13, 2026 |
| 2 | Wondering by Cheng-Wei Hu(formerly at NotebookLM) is out of stealth and in early-access. Beta code changes daily so follow these handles for access codes. Blurb below
====
It's Duolingo for anything — turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule.
But you don't sacrifice depth/effectiveness for convenience:
Total Control: You decide how deep you want to go, how difficult the material should be, and how personalized the experience feels.
Active Learning: We provide the tools you need to practice, test your understanding, and actually apply what you’ve learned.
Long-term Mastery: It’s built to help you truly remember and master any subject, not just skim the surface. |
| 3 | Lightpanda Browser Gains Traction for Efficient AI Automation
Lightpanda, built in Zig, skips graphical rendering to offer instant startups and low memory—using just 24MB to fetch 100 pages in 2.3 seconds, compared to Chrome's 207MB and 25 seconds. Its GitHub repo has over 13,000 stars, with drop-in support for tools like Puppeteer and Playwright, and backing from Hugging Face and Mistral AI. While beta limitations like partial Web API support exist, early tests show it cuts infrastructure costs dramatically, from $500 to $50 monthly for some users.
Ryan Hart
@thisdudelikesAI
BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory.
It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation.
Not a Chromium fork. Not a hack. A completely new browser
7,489 5:07 PM • Mar 12, 2026 |
| 4 | via Ben Jammin
Getting the most out of Nano Banana 2
Nano Banana 2
@NanoBanana
x.com/i/article/2031…
4,166 10:29 PM • Mar 11, 2026 |
| 5 | HydraDB Raises $6.5M to Fix AI Context Retrieval Flaws
HydraDB launched from stealth with $6.5 million in seed funding to replace vector databases, which founder Nishkarsh Srivastava says deliver confident but irrelevant results in AI systems. The startup's ontology-first graph tracks entity relationships, document changes, and distinctions like 'Apple the customer' versus the fruit, claiming 90% accuracy on benchmarks and sub-200ms latency. Backed by investors including Google DeepMind's Jeff Dean, it targets enterprise needs with features like self-hosting
Nishkarsh
@contextkingceo
We've raised $6.5M to kill vector databases.
Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest.
Similar, sure. Relevant? Almost never.
Embeddings can’t tell a Q3 renewal clause from a
5,671 10:16 PM • Mar 12, 2026 |
| 6 | Shopify CEO's AI Agent Boosts Liquid Engine Speed by 53%
Liquid, the templating engine Lütke created in 2006 for Shopify stores, powers billions of renders daily across 5.6 million active shops. Using pi-autoresearch—a tool inspired by Andrej Karpathy's autoresearch—he ran 120 experiments, landing 46 commits that passed 974 unit tests without regressions. Key wins included faster tokenizers and pre-computed strings, with developers already replicating gains on engines like Laravel's Blade and Erlang/OTP. At Shopify's massive scale, these micro-optimizations promise big compute savings and signal a shift where AI handles performance tweaks autonomously.
tobi lutke
@tobi
OK, well. I ran /autoresearch on the the liquid codebase.
53% faster combined parse+render time, 61% fewer object allocations.
This is probably somewhat overfit, but there are absolutely amazing ideas in this.
2,484 5:49 AM • Mar 13, 2026
Simon Willison
@simonw
Published some notes on @tobi's autoresearch PR that improved the performance benchmark scores of the Liquid template language (which Tobi created for Shopify 20 years ago) by a hefty 53% simonwillison.net/2026/Mar/13/li…
642 11:59 AM • Mar 13, 2026 |
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Saturday 14th March 2026\
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| 1 | In this 2.5 hour conversation with Dwarkesh Patel, Dylan Patel of Semi Analysis gives a deep dive on the 3 big bottlenecks to scaling AI compute: logic, memory, and power.
And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers.
Learned a ton about every single level of the stack.
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| 2 | via James Chan
I want to strongly recommend a 1.78L box as homelab server. I just bought the Minisforum MS-A2; it even comes with a 70W dGPU slot! I’m awaiting my Blackwell RTX Pro 4000 to complete the package. 16c32 thread 128gb ddr5-5600 ram. Plus 3 nvme slots that lets me do proxmox ZFS
This is another tiny box running 128gb AI 395+ Strix Halo; great for standalone headless LLM as part of a tiered stack
[MINISFORUM MS-A2 <br><br>Powered by AMD Ryzen 9 9955HX, the MINISFORUM MS-A2 supports up to 96GB DDR5-5600, triple PCIe 4.0 M.2 storage with U.2 NVMe, dual 10Gbps SFP+ plus 2.5G LAN, WiFi 6E, BT 5.3, and a split-capable PCIe x16 slot for advanced expansion.<br><br>http://bit.ly\
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Gonna tie these babies together as my weekend projects |
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Below is my personal website which aggregates links to many of my socials as well as the various content and community that I curate. Feel free to share this link to others who you think may find this content/community useful to them
https://linktr.ee/goolamabbas
The cover image of this newsletter via generated via the Nano Banana 2 model within the Freepik tool via the following prompt
Santorini Villa surrounded by water and nature, village, close view, volumetric lighting, photorealistic, insanely detailed and intricate, Fantasy, epic cinematic shot, trending on ArtStation, mountains, 8k ultra hd, magical, mystical, matte painting, bright sunny day, flowers, massive cliffs, Sweeper3D
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)<![CDATA[This Week in All Things AI - Week 10-2026]]>https://paragraph.com/@twiata/this-week-in-all-things-ai-week-10-2026 IWV9SKVslegfY9meHDguSun, 08 Mar 2026 01:55:51 GMTThe frontier labs are relentless in their launch of new models with Google Deepmind launching Gemini-3.1 Flash-Lite and OpenAI launching GPT-5.4 with impressive performance for their class. Cognition which makes Devin and Windsurf showed an early preview of their model SWE-1.6 which has a huge jump over their previous SWE-1.5 and offers 950 tokens/second inference via their Cerebras partnership
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Anthropic's new feature of importing preferences/context from other AI providers into Claude is its salvo to be more attractive to consumers with continuous improvements to Claude Code as well as Cowork and also taking advantage of more organisations offering skills in Anthropic format such as Dune, Coinmarketcap
The following messages were posted on the ' All Things AI ' Telegram group from Sunday 1st Mar 2026 to Saturday 7th Mar 2026
Sunday 1st March 2026
Anthropic created a process to bring over preferences and context from other AI providers to Claude
For those who are using other providers and fear starting from scratch with Claude, recommend going through the below landing page and read it completely to understand the process
https://claude.com/import-memory
Monday 2nd March 2026
| 1 | Cognition Unveils SWE-1.6 with 55.8% SWE-Bench Pro Score The new model jumps from SWE-1.5's 40.1% on the benchmark, thanks to reinforcement learning that used 100 times more compute on thousands of NVIDIA GB200 chips—while keeping its speedy 950 tokens per second. It edges out open-source rivals and matches top closed models like Claude Opus 4.6, with internal tests showing solve rates climb from 52.4% to 68.7% on engineering tasks. Tweaks are planned for quirks like overthinking. Team members shared their excitement, with CEO Scott Wu calling it a big milestone and researchers praising the 'insane team' effort Cognition @cognition We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model 1,194 5:42 AM • Mar 2, 2026 Scott Wu @ScottWu46 Early days but a big milestone for us! This model is still in preview and we expect to tune behavior a lot over the coming weeks - but wanted to get folks a snapshot as soon as we could. Cognition @cognition We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model 246 6:34 AM • Mar 2, 2026 Silas Alberti @silasalberti Over the last few months we started building our research team at Cognition and we've come a long way! It's been exciting to figure out what it takes to build a large-scale post-training stack from scratch and push towards the frontier. My personal take is it's been easier than Cognition @cognition We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model 222 6:13 AM • Mar 2, 2026 nader dabit @dabit3 Impressive results so far from SWE-1.6, and at 950 tokens/s it doesn't sacrifice speed for intelligence. Now rolling out early access to a subset of users in Windsurf. Cognition @cognition We are sharing an early preview of our ongoing SWE-1.6 training run. It significantly improves upon SWE-1.5 while being post-trained on the same pre-trained model - and it runs equally as fast at 950 tok/s. On SWE-Bench Pro it exceeds top open-source models. The preview model 57 6:51 AM • Mar 2, 2026 |
| 2 | Paul Graham, the OG of Y Combinator hinting at the much improved capabilities of Replit v4 Paul Graham @paulg Amjad showed me Replit's latest stuff. They're about to redefine vibe coding in a way that will seem obvious in retrospect. A lot of the biggest ideas have that quality. 3,496 1:33 PM • Mar 2, 2026 |
| 3 | via Yat Siu had an opportunity to tell Peter that crypto isn't bad for AI at all, on stage he actually said "I don't hate crypto" but do think the scammers out there scarred him very badly Yat Siu @ysiu 1/ Had the great pleasure to speak at @imperialisoc @imperialcollege on the importance of AI & crypto followed by a great talk and then panel with @steipete @simonsquibb and witnessing the incredible excitement and builder energy! The main points I made Robby Yung ⦿⦿⦿ @viewfromhk @ysiu explaining why crypto and the agentic web were meant for each other at @imperialaisoc 92 4:58 AM • Mar 2, 2026 |
| 4 | via Simon Davis I created a guide to give your agent ultimate context for free by automatically hooking up your OpenClaw to notes from every meeting and discussion. Hope some of you find this useful. |
| via Marc McGinley Dune | We Are Hiring! @Dune Dune MCP is live Plug Dune directly into @claudeai, @ChatGPTapp, @cursor_ai, and more. Search tables. Write queries. Build charts. Check Usage. All from a single prompt. Your AI just became a Dune power user. 1,122 10:15 PM • Mar 2, 2026 |
Tuesday 3rd March 2026
| 1 | Chintan Turakhia, Senior Director of Engineering at Coinbase, in conversation with Clairo Vo, founder of ChatPRD and host of the 'How I AI' podcast Chintan led the transformation of a 1,000-plus-engineer organization to embrace AI tools at scale. When tasked with rewriting Coinbase’s self-custody wallet into a consumer social app in just six to nine months, Chintan turned to AI as a force multiplier claire vo 🖤 @clairevo Sure, you can vibe code but have you ever shipped so much with AI you literally break GitHub? That’s what @chintanturakhia and the team at @coinbase did as they pushed the edge of engineering with AI. This week, Chintan and I chat about how to get 1000s of engineers cooking 160 9:53 PM • Mar 2, 2026 |
| 2 | via Tom Ho MCP, x402, claude code & Openclaw skills for CoinMarketCap CoinMarketCap @CoinMarketCap AI agents are getting smarter, but they still need market context. Today, we’re launching 4 AI Agent-focused products: MCP for real-time data x402 support for CoinMarketCap APIs Skills for Claude Code Skills for @openclaw Equip your AI agents with real-time 1,410 1:02 AM • Mar 3, 2026 |
| 3 | Anthropic Rolls Out Voice Mode for Claude Code Developers activate it via '/voice' and hold the spacebar to speak, streaming transcripts right into their code editor without overwriting text. The feature shines for quick ideas, refactoring tasks, and accessibility Thariq @trq212 Voice mode is rolling out now in Claude Code. It’s live for ~5% of users today, and will be ramping through the coming weeks. You'll see a note on the welcome screen once you have access. /voice to toggle it on! 17.2K 8:28 AM • Mar 3, 2026 |
| 4 | Singapore Offers Free AI Premium Access for Job Training Starting mid-2026, Singaporeans aged 25 and above can access premium subscriptions from Google, Manus, Microsoft, and OpenAI when enrolling in selected SkillsFuture courses. Manpower Minister Tan See Leng emphasized hands-on practice to help everyone adapt to AI changes in jobs, targeting 100,000 AI-savvy workers by 2029. The plan responds to calls for broader access amid regional skills gaps, [Free premium AI subscriptions for those taking certain SkillsFuture courses from 2nd half of 2026 <br><br>The Government has been engaging providers such as Google, Manus, Microsoft and Open AI. Read more at straitstimes.com.<br><br>https://www.straitstimes.com\ <br> |
| 5 | New venture SecretSauce from my friends Simon Davis and Benjamin Chevalier Small blurb from the Forbes article which introduces their product ===== SecretSauce is designed to address what Davis calls the “brand memory” gap in AI. Rather than prompting from scratch each time, users upload brand assets or share a website. The system builds what the company calls a “codex”, a memory layer that encodes visual identity, tone and product rules. ==== via Simon Davis SecretSauce encodes your brand once and uses that intelligence to produce on-brand content by default. No prompting, no fixing, no starting from zero every time. Built on a system originally developed for live games at massive scale, it gets smarter with every interaction. The longer you use it, the better it knows your brand, and the harder it becomes to replicate with anything else. I'll make sure we bump anyone from this group for the free beta. You can sign up here. |
Wednesday 4th March 2026
| 1 | via Tom Ho Got Qwen 3.5 to run on iphone locally, testing on simulator for now nftom.eth @NFTom_ETH I built an iOS app to get Qwen3.5-2B model running locally on iPhone. Results aren't perfect, but it's working quite well. I even added a browser tool to search the web and Qwen knows when to use it. Free yourself from paying model providers or sending data out! 0 1:28 AM • Mar 4, 2026 |
| 2 | From Google Announcing Gemini 3.1 Flash-Lite! ⚡️ Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Google AI @GoogleAI Smarter. Faster. Gemini 3.1 Flash-Lite is here The model offers uncompromising speed & intelligence at scale by focusing on: — Cost-efficiency: Priced at just $0.25/1M input and $1.50/1M output tokens, it gets work done faster at a fraction of the cost of larger models, 1,734 12:41 AM • Mar 4, 2026 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/?linkId=59383104 |
| 3 | check out the updated skill-creator with built-in support for test generation (e.g., to measure + optimize tricky things like skill trigger rate). available in Claude Code as plugin, https://claude.ai and Cowork. Lance Martin @RLanceMartin check out the updated skill-creator. i esp like built-in support for test generation (e.g., to measure + optimize tricky things like skill trigger rate). available in Claude Code as plugin, Claude.ai, + Cowork. 1,690 2:31 AM • Mar 4, 2026 Ryan Whitehead @ryan_whitehead We shipped evals and benchmarking in a skill-creator update today. Write tests, A/B compare skill versions, track regressions. No code required. Whether you're a dev or an SME, you now have real tools to validate that your skills work. claude.com/blog/improving… 1 3:08 AM • Mar 4, 2026 |
| 4 | via Coop Michael Truell @mntruell We believe Cursor discovered a novel solution to Problem Six of the First Proof challenge, a set of math research problems that approximate the work of Stanford, MIT, Berkeley academics. Cursor's solution yields stronger results than the official, human-written solution. 8,254 2:39 AM • Mar 4, 2026 |
| 5 | Nils @broodsugar x.com/i/article/2023… 765 3:35 PM • Mar 4, 2026 |
Thursday 5th March 2026
| 1 | via Ben Jammin If anyone uses OpenClaw, here's a Morning Briefing use case of mine that you may be interested in It scrapes a bunch of different sources for me and compiles everything for me into bite sized info that I can read quickly: - My Newsletters - Youtube competitor videos - Product hunt launches - Hot Reddit Topics I'd be happy to help anyone set this kind of stuff up |
| 2 | Tanishq Kumar, Tri Dao, and Avner May from Together Compute introduce Speculative Speculative Decoding (SSD) for up to 2x faster LLM inference Researchers Tanishq Kumar, Tri Dao, and Avner May from Together Compute released SSD, a new LLM inference algorithm. SSD speculates verification outcomes in parallel to enable asynchronous drafting and verification, eliminating overhead from the small draft model in traditional speculative decoding by preemptively predicting and preparing likely verification paths. The method achieves up to 2x speedup over the strongest existing inference engines. Tanishq Kumar @tanishqkumar07 I've been working on a new LLM inference algorithm. It's called Speculative Speculative Decoding (SSD) and it's up to 2x faster than the strongest inference engines in the world. Collab w/ @tri_dao @avnermay. Details in thread. 3,952 1:42 AM • Mar 5, 2026 Tri Dao @tri_dao Attack of the asynchronous machines. We’ve seen this a lot in GPU kernels. This time the same principle applies in speculative decoding Tanishq Kumar @tanishqkumar07 I've been working on a new LLM inference algorithm. It's called Speculative Speculative Decoding (SSD) and it's up to 2x faster than the strongest inference engines in the world. Collab w/ @tri_dao @avnermay. Details in thread. 521 3:09 AM • Mar 5, 2026 Avner May @avnermay Excited to announce our new LLM inference algorithm, speculative speculative decoding (SSD)! It is fast — up to 2x faster than state-of-the-art inference engines (vLLM, SGLang). Working on this with @tanishqkumar07 and @tri_dao was a blast. Details in thread: Tanishq Kumar @tanishqkumar07 I've been working on a new LLM inference algorithm. It's called Speculative Speculative Decoding (SSD) and it's up to 2x faster than the strongest inference engines in the world. Collab w/ @tri_dao @avnermay. Details in thread. 668 1:45 AM • Mar 5, 2026 |
| 3 | In the leadup to the highly awaited Replit Agent v4 release, Amjad Masad and Replit release a ~53 min documentary of the 'behind the scenes' leadup to Agent v3 which launched on Sep 21st 2025 Amjad Masad @amasad AI is compressing how we build. Roles collapse, roadmaps expire quickly, and you end up rewriting the product every few months. So we thought we’d give people a behind-the-scenes look. 21 Days to Launch, a Replit documentary. 817 1:45 AM • Mar 5, 2026 |
Friday 6th March 2026
| 1 | OpenAI Launches GPT-5.4 as Top Model for Professional Tasks The new GPT-5.4 rolls out immediately via API as gpt-5.4 and gpt-5.4-pro, plus in Codex and gradually to ChatGPT users on Plus, Team, Pro, Enterprise, and Edu plans. It shines in agentic tasks with native computer use—interpreting screenshots, generating code, and controlling mouse or keyboard across apps Benchmarks show it leading rivals like Claude 4.6 and Gemini 3.1 Pro, with testers like Matt Shumer calling it the world's best and coding 'essentially solved.' OpenAI @OpenAI GPT-5.4 Thinking and GPT-5.4 Pro are rolling out now in ChatGPT. GPT-5.4 is also now available in the API and Codex. GPT-5.4 brings our advances in reasoning, coding, and agentic workflows into one frontier model. 21.9K 2:10 AM • Mar 6, 2026 OpenAI Developers @OpenAIDevs GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows. openai.com/index/introduc… 6,166 2:12 AM • Mar 6, 2026 Matt Shumer @mattshumer_ I've been testing GPT-5.4 for the last week. In short, it is the best model in the world, by far. It's so good that it's the first model that makes the “which model should I use?” conversation feel almost over. The biggest surprise: I barely use Pro anymore! If you know me, 2,788 2:10 AM • Mar 6, 2026 |
| 2 | Netflix has acquired interpositive, a start-up founded by Ben Affleck that makes AI-powered tools for filmmakers. The system builds AI models from a film’s dailies to assist with postproduction tasks like color, relighting and VFX while keeping filmmakers “at the center of the process.” Bela Bajaria, Netflix’s CCO, says the tech will provide creatives “more choices, more control and more protection for their vision.” [Netflix Acquires AI Filmmaking Start-Up Founded by Ben Affleck, Who Will Serve as Adviser to Streamer <br><br>In a rare acquisition, Netflix has bought InterPositive, a start-up founded by Ben Affleck that makes AI-powered tools for filmmakers.<br><br>https://variety.com\ <br> Ben Affleck has also been active in talk-shows and media appearances articulating his view on AI in the context of film making |
| 3 | via Robby Yung Hasan Toor @hasantoxr BREAKING: Someone just open sourced the missing layer for AI agents and it's genuinely insane. It's called LangWatch. The complete platform for LLM evaluation and AI agent testing trace, evaluate, simulate, and monitor your agents end-to-end before a single user sees them. 708 8:32 PM • Mar 4, 2026 |
| 4 | via Ben Jammin Anthropic Report Labor market impacts of AI: A new measure and early evidence https://cdn.sanity.io/files/4zrzovbb/website/dc7bcd0224644fce97cecb7f9e68dcd8434b35f1.pdf |
| 5 | approx hour long conversation between Lisa Huang creator of Gemini Gems alongwith Aakash Gupta ===== Gemini Gems, Claude Projects, custom GPTs. If you're not using any of them, you're working harder than you need to. The creator of Gemini Gems walked me through her entire setup: Aakash Gupta @aakashgupta Gemini Gems, Claude Projects, custom GPTs. If you're not using any of them, you're working harder than you need to. The creator of Gemini Gems walked me through her entire setup: 3:52 - The 3 Gems everyone needs 6:05 - Building a custom Gem 32:22 - Measuring your setup 125 8:07 AM • Mar 6, 2026 |
Saturday 7th March 2026
| 1 | via Fazri Zubair Just started using 5.4 Extra High and evaluating its ability in code generation. We'll keep you guys posted. Anyone have some early notes or results? |
| 2 | response to the above from Coop The first few tasks I was thinking it was better than Opus, but after giving it some more full features it didn’t beat Opus for me. I will test it with e2e testing with Playwrite / Stagehand this week as I hear that’s where it excels besides frontend design which I also haven’t tested yet. My code base is 10m LOC though so I am expecting a high bar to 5.4m compared to most. |
A futuristic stadium in the year 2056, surrounded by grassy fields and crowds walking on bridges to reach it. The building is white with black details. In front, you can see an ocean with some boats around it. A huge bridge leads from one side over that river to another island where other buildings stand. High resolution, hyper-realistic, high detail, sharp focus, depth of field, volumetric lighting, global illumination.
]]>twiata@newsletter.paragraph.com (Yusuf Goolamabbas)